US20070013718A1 - Image processor, image processing method, recording medium, computer program and semiconductor device - Google Patents
Image processor, image processing method, recording medium, computer program and semiconductor device Download PDFInfo
- Publication number
- US20070013718A1 US20070013718A1 US11/522,775 US52277506A US2007013718A1 US 20070013718 A1 US20070013718 A1 US 20070013718A1 US 52277506 A US52277506 A US 52277506A US 2007013718 A1 US2007013718 A1 US 2007013718A1
- Authority
- US
- United States
- Prior art keywords
- image
- images
- target
- series
- movement
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/0007—Image acquisition
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/4223—Cameras
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
- H04N7/183—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast for receiving images from a single remote source
-
- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/10—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals
- A63F2300/1087—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by input arrangements for converting player-generated signals into game device control signals comprising photodetecting means, e.g. a camera
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/42204—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor
- H04N21/42206—User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor characterized by hardware details
- H04N21/42222—Additional components integrated in the remote control device, e.g. timer, speaker, sensors for detecting position, direction or movement of the remote control, microphone or battery charging device
Definitions
- the present invention relates to an image processing technology for using an image taken by an image pickup apparatus such as a video camera as an interface for inputting commands, etc.
- a keyboard, mouse, controller, etc. are input devices often used for a computer, video game machine, etc.
- the operator inputs desired commands by operating these input devices to render a computer, etc. to execute processing according to the commands entered. Then, the operator sees images and listens to sound, etc. obtained as the processing results from a display device and speaker.
- the operator enters commands by operating many buttons provided on the input device while watching a cursor shown on the display device.
- an image processor which includes a memory operable to store in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time.
- the image processor further includes a detector operable to detect the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time.
- An image generator is included in the image processor, and is operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement, the image generator being further operable to generate a combined image from the object image and an image from the captured series of images.
- the image processor further includes an output operable to output in real time a signal representing the combined image at the location captured in the series of images.
- the image processor is operable to produce a combined image in which the combined image includes a mirrored image of the target.
- the output of the image processor is operable to output the signal representing the combined image to a predetermined display device.
- the target is a first target
- the captured series of images at least partially includes a plurality of targets including the first target, each of the plurality of targets being subject to move within the captured series of images from one point in the time to another point in the time
- the detector is operable to detect the quantitative value of the movement component of each of the plurality of targets and to detect a particular one of the plurality of targets based on the detected quantitative values of the movement components of the plurality of targets such that the object image follows the movement of the particular target, and the image representing the trace of the movement represents the trace of the movement of the particular target.
- the object image is associated with predetermined processing and the image generator is further operable to perform the predetermined processing when the detected quantitative value of the movement component satisfies a predetermined condition.
- the detected quantitative value of the movement component includes a rate of movement of the target.
- the detected quantitative value of the movement component includes a cumulative amount of movement of the target.
- an image processing method which includes the following:
- a computer-readable recording medium which has instructions recorded thereon, the instructions being executable by a computer or image processing system to perform a method, wherein the method includes the following:
- a system which is operable to process an image.
- the system includes one or more semiconductor devices, and the one or more semiconductor devices include:
- an image processor includes a memory operable to store an image from a series of real time images of a location captured by an imaging device over time, the stored image at least partially including a target that is subject to movement from one point in the time to another point in the time.
- the image processor further includes a detector operable to detect the target and a movement component thereof by detecting features of the captured images at different points in the time, and includes an image generator operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement.
- Such image generator is further operable to generate a combined image from the object image and the stored image and to output in real time a signal representing the combined image, to permit the combined image to be displayed to the location imaged by the imaging device.
- an image processor is operable to generate object images according to the movements of targets included in the mirrored moving image. That is, the movement, color, shape of the object image to be displayed on the display device and if there is a plurality of object images, which object image should be displayed, etc. are determined by the movement of the target. For example, if the target is the operator, the object is determined according to the movement of the operator.
- the mirrored moving image is available as a kind of input interface.
- the image processor so that the mirrored moving image includes a plurality of targets, construct the detecting means to detect the movement components of the plurality of targets and detect one target based on the respective movement components of the detected plurality of targets, construct the image generating means to change the object image according to the movement component of the one target detected by the detecting means.
- a recording medium having instructions recorded thereon for performing a method such as described above, and a semiconductor device is provided which has functions to perform such method.
- FIG. 1 is an overall configuration diagram of an image processing system applying the present invention
- FIG. 2 is a configuration diagram of an image processor according to an embodiment of the present invention.
- FIG. 3 is a functional block diagram of the image processor according to the embodiment of the present invention.
- FIG. 4 is a flow chart showing a processing procedure of Embodiment 1;
- FIG. 5 is a flow chart showing a processing procedure of Embodiment 1;
- FIG. 6 illustrates a combined image according to Embodiment 1
- FIG. 7 illustrates a menu image
- FIG. 8 is a flow chart showing a processing procedure of Embodiment 2.
- FIG. 9 illustrates a combined image according to Embodiment 2.
- FIG. 10 is a view illustrating a drawing using a recursive texture
- FIG. 11 is a flow chart showing a processing procedure of Embodiment 3.
- FIG. 12 is a flow chart showing a processing procedure of Embodiment 3.
- FIG. 13 illustrates a combined image according to Embodiment 3.
- FIG. 1 is a configuration example of an image processing system applying the present invention.
- This image processing system takes pictures of the operator who sits in front of a display device 3 using an analog or digital video camera 1 .
- the image processing system captures moving images into an image processor 2 consecutively in a time series to generate mirrored moving images.
- the image processing system combines object images expressing objects such as a menu and cursor at positions where remarked objects such as the eyes and hands of the operator (hereinafter the remarked objects are referred to as “targets”) to generate a combined image (this, too, becomes a moving image) and displays this combined image on the display device 3 in real time.
- a mirrored moving image can be generated by subjecting the moving image captured from the video camera 1 to mirroring (right/left inversion of image) by the image processor 2 , but it is also possible to place a mirror in front of the video camera 1 and take pictures of a moving image on the mirror surface reflecting the operator by the video camera 1 to form a mirrored moving image. In any case, a combined image whose display mode changes in real time according to the movement of the target is displayed on the display device 3 .
- the image processor 2 is implemented by a computer that forms the required functions using a computer program.
- the computer according to this embodiment whose hardware configuration is shown by way of example in FIG. 2 has two buses; a main bus B 1 and sub bus B 2 to which a plurality of semiconductor devices each having specific functions is connected. These buses B 1 and B 2 are mutually connected or disconnected via a bus interface INT.
- the main bus B 1 is connected to a main CPU 10 which is a main semiconductor device, a main memory 11 made up of a RAM, a main DMAC (Direct Memory Access Controller) 12 , an MPEG (Moving Picture Experts Group) decoder (MDEC) 13 and a graphic processing unit (hereinafter referred to as “GPU”) 14 incorporating a frame memory 15 which serves as a drawing memory.
- the GPU 14 is connected with a CRTC (CRT controller) 16 for generating a video signal so as to display the data drawn in the frame memory 15 on the display device 3 .
- CRTC CRT controller
- the CPU 10 loads a start program from the ROM 23 on the sub bus B 2 at the startup via the bus interface INT, executes the start program and operates an operating system.
- the CPU 10 also controls the media drive 27 , reads an application program or data from the medium 28 mounted in this media drive 27 and stores this in the main memory 11 .
- the CPU 10 further applies geometry processing (coordinate value calculation processing) to various data read from the medium 28 , for example, three-dimensional object data (coordinate values of vertices (typical points) of a polygon, etc.) made up of a plurality of basic graphics (polygons) and generates a display list containing geometry-processed polygon definition information (specifications of shape of the polygon used, its drawing position, type, color or texture, etc. of components of the polygon).
- the GPU 14 is a semiconductor device having the functions of storing drawing context (drawing data including polygon components), carrying out rendering processing (drawing processing) by reading necessary drawing context according to the display list notified from the main CPU 10 and drawing polygons in the frame memory 15 .
- the frame memory 15 can also be used as a texture memory. Thus, a pixel image in the frame memory can be pasted as texture to a polygon to be drawn.
- the main DMAC 12 is a semiconductor device that carries out DMA transfer control over the circuits connected to the main bus B 1 and also carries out DMA transfer control over the circuits connected to the sub bus B 2 according to the condition of the bus interface INT.
- the MDEC 13 is a semiconductor device that operates in parallel with the CPU 10 and has the function of expanding data compressed in MPEG (Moving Picture Experts Group) or JPEG (Joint Photographic Experts Group) systems, etc.
- the sub bus B 2 is connected to a sub CPU 20 made up of a microprocessor, etc., a sub memory 21 made up of a RAM, a sub DMAC 22 , a ROM 23 that records a control program such as operating system, a sound processing semiconductor device (SPU: Sound Processing Unit) 24 that reads sound data stored in the sound memory 25 and outputs as audio output, a communication control section (ATM) 26 that transmits/receives information to/from an external apparatus via a network (not shown), a media drive 27 for setting a medium 28 such as CD-ROM and DVD-ROM and an input device 31 .
- a sub CPU 20 made up of a microprocessor, etc.
- a sub memory 21 made up of a RAM
- a sub DMAC 22 a sub DMAC 22
- ROM 23 that records a control program such as operating system
- a sound processing semiconductor device SPU: Sound Processing Unit
- ATM communication control section
- the sub CPU 20 carries out various operations according to the control program stored in the ROM 23 .
- the sub DMAC 22 is a semiconductor device that carries out control such as a DMA transfer over the circuits connected to the sub bus B 2 only when the bus interface INT separates the main bus B 1 from sub bus B 2 .
- the input unit 31 is provided with a connection terminal 32 through which an input signal from an operating device 35 is input, a connection terminal 33 through which an image signal from a video camera 1 is input and a connection terminal 34 through which a sound signal from the video camera 1 is input.
- the main CPU 10 , sub CPU 20 and GPU 14 read and execute a predetermined computer program from the recording medium such as the ROM 23 and medium 28 , and thereby form a functional block necessary for operating as the image processor 2 , that is, an image input device 101 , an image inverter 102 , an object data storage device 103 , an object data input device 104 , an object controller 105 , a superimposing image generator 106 , a difference value detector 107 and a display controller 108 .
- the image input device 101 is formed by the input device 31 and the sub CPU 20 that controls the operation thereof
- the image inverter 102 the object data input device 104
- the object controller 105 and the difference value detector 107 are formed by the CPU 10
- the superimposing image generator 106 are formed by the GPU 104
- the display controller 108 is formed by the GPU 14 and CRTC 16 cooperating with each other.
- the object data storage device 103 is formed in a memory area accessible to the main CPU 10 , for example, the main memory 11 .
- the image input device 101 incorporates images taken by the video camera 1 via the connection terminal 33 of the input device 31 .
- the image input device 101 incorporates the image as is.
- the image taken and entered is an analog image
- the image input device 101 incorporates the image after converting it from analog to digital.
- the image inverter 102 subjects the image incorporated by the image input device 101 to mirroring, that is, right/left inversion to form a mirrored moving image.
- the object data storage device 103 stores object data to express objects such as a menu (including a submenu), matchstick, and cursor together with identification data thereof.
- the object data input device 104 incorporates necessary object data from the object data storage device 103 and sends the object data to the object controller 105 .
- the object data to be incorporated is instructed by the object controller 105 .
- the object controller 105 generates an object image based on the object data incorporated from the object data input section 104 according to the instruction content. Especially, the object controller 105 determines the object display condition based on a difference value sent from the difference value detector 107 and generates an object image to realize the display condition. The difference value will be described later.
- the superimposing image generator 106 draws a combined image obtained by superimposing the mirrored moving image output from the image inverter 102 on the object image generated by the object controller 105 in the frame memory 15 .
- the difference value detector 107 compares the image features of the mirrored moving image of the combined image generated by the superimposing image generator 106 frame by frame and derives the difference value of the image features between the mirrored moving images of the preceding and following frames. Furthermore, the difference value detector 107 generates a difference image between the mirrored moving images of the preceding and following frames as required.
- the difference value in the image features is a value quantitatively expressing a variation per frame of the movement component of the target included in the mirrored moving image.
- the difference value indicates a distance that the target has moved in the mirrored moving image or an area between the area after the movement and the area before the movement.
- a difference value in the image features expresses a variation in the movement of each target, and therefore it is possible to quantitatively calculate the variation in the movement of each target by calculating this difference value.
- the difference image is an image expressing a variation in the movement per frame of each target included in the mirrored moving image at every point in time. For example, when a target moves between two mirrored moving images, the difference image is an image made up of the image of the target before the movement and the image of the target after the movement.
- the difference value detector 107 stores a certain mirrored moving image as a “reference image” relative to mirrored moving images of other frames in the main memory 11 .
- the mirrored moving image to be stored may be a full one-frame worth mirrored moving image or may be a mirrored moving image that is only part of the target because all that is required is to make it possible to derive a difference value in the image features.
- template image an image of part of a target and an image of the rest of the target.
- the difference value detected by the difference value detector 107 is sent to the object controller 105 and used to control movements of object images.
- the display controller 108 converts the combined image generated by superimposing image generator 106 to a video signal and outputs the video signal to the display device 3 .
- the display device 3 displays the combined image (moving image) on a screen using this video signal.
- the image processor 2 displays a combined image consisting of the mirrored moving image of the operator taken by the video camera 1 and subjected to mirroring with a menu image as an example of an object image superimposed.
- the operator's hand is the target and instructions are entered to the menu image by detecting the amount of movement of the hand in the area in which the menu image is displayed.
- the menu image has a hierarchic structure as shown in FIG. 7 .
- a pull-down image highlighting one of “select1”, “select2” or “select3” at the lower layer is displayed and when one item is selected from the pull-down image, the process determining image (for example, “process 21”, “process 22”, “process 23”, “process 24”) of the menu at the lower layer of the selected pull-down image are displayed.
- the process determining image is stored in the object data storage device 103 linked to the program to render the main CPU 10 to execute the determined process (event) and when a certain process determining image is selected, the program linked thereto starts to execute the corresponding process (event).
- FIG. 4 and FIG. 5 show the procedure for processing by the image processor 2 to enable such an operation.
- the difference value detector 107 updates the mirrored moving image to that of the next frame and when the combined image generated by the superimposing image generator 106 is thereby updated (step S 101 ), image features of the mirrored moving image included in the preceding and following combined images to be updated are compared and the difference value is calculated (step S 102 ).
- the difference value calculated here is a value expressing one movement of the operator's hand in the area in which the menu image is displayed.
- the difference values calculated are recorded in the main memory 11 and cumulatively added for a certain period of time (step S 103 ).
- the reason that difference values are cumulatively added is that the operator's will about the operation instruction is detected by the image processor 2 based on a plurality of movements of the operator's hand. If the operator's will about the operation instruction can be checked according to the amount of one time movement of the hand, cumulative addition need not always be performed.
- the difference value detector 107 sends the difference value (cumulative sum) to the object controller 105 .
- the object controller 105 determines the color of the menu image according to the difference value (cumulative sum) received from the difference value detector 107 (step S 104 ). For example, a plurality of colors of the menu image is provided and the color is changed one by one every time a movement of the hand is detected. It is also possible to change the color from transparent to semitransparent, opaque, etc. Or the actual difference value (cumulative sum) is compared with a predetermined threshold (step S 105 ) and if the cumulative sum is smaller than the threshold (step S 105 : N), the routine goes back to step S 101 assuming that it is not sufficient to determine that “menu” of the menu screen has been selected.
- step S 105 determines that “menu” of the menu screen has been selected, shows a pull-down image and reports it to the difference value detector 107 (step S 106 ).
- the object controller 105 detects that “menu” of the menu image has been selected and shows the pull-down image.
- the color of the menu image changes according to the cumulative sum of the amount of movement of the hand, and therefore the operator can know a rough amount of additional movement of the hand required to select “menu”.
- the display device 3 shows a mirrored moving image
- the operator can perform the above-described operation in much the same way the operator looks in a mirror, providing a man-machine interface easy-to-operate for the operator.
- the difference value detector 107 stores the image of the operator's hand (target) at that time as a template image (step S 107 ).
- step S 108 When the frame is updated and the menu image is thereby replaced by the pull-down image in its subordinate layer and a combined image is shown (step S 108 ), a search is started for the location of the image of the operator's hand in the new combined image. That is, the difference value detector 107 searches for an image that matches the template image from the combined image (step S 109 ).
- the difference value detector 107 divides the combined image into areas in the same size as that of the template image and searches for the image most resembling the template image from among the images in the respective areas after the division.
- the image most resembling the template image in the area is, for example, when the sum total of absolute values (or squares) of differences between pixels of the images compared can be expressed as distances, an image whose distance from the template image is a minimum.
- step S 110 When a matched image is found (step S 110 : Y), it is determined whether the matched image is a pull-down image or not (step S 111 ). If the matched image is a pull-down image (step S 111 : Y), the area of the pull-down image is detected from “select1”, “select2” or “select3” (step S 112 ). The detected pull-down image becomes the pull-down image indicated and selected by the operator. Information on the selected pull-down image is reported from the difference value detector 107 to the object controller 105 .
- the object controller 105 reads a process-determining image accompanying the selected pull-down image from the object data storage device 103 and generates an object image to which this process-determining image is attached (step S 113 ).
- the display device 3 shows how the menus are selected one after another by the operator.
- the pull-down image of “select2” is selected from the menu image at the top layer and the process determining images (“process 21”, “process 22”, “process 23” and “process 24”) accompanying the pull-down image of “select2” are displayed.
- the template image is replaced by a new one for every frame.
- the difference value detector 107 discards the template image used for the preceding frame and stores the above-described matched image (image of the operator's hand used to select the pull-down image) as a new template image (step S 114 ). Then, the routine returns to step S 108 to specify any one of the process determining images (“process 21”, “process 22”, “process 23” and “process 24”) as shown above.
- step S 111 when the matched image is outside the area of the pull-down image but is any one of the process determining images within the process determining image area (step S 111 : N, S 115 : Y), the process determining image is assumed to have been selected and the content of the process linked thereto is determined, that is, the program is made executable and the process using the menu image is finished (step S 118 ).
- step S 111 N, S 115 : N, S 116 : Y
- step S 110 when no matched image to be compared is found (step S 110 : N) or when a matched image is found but is an image outside the area of the menu image, the process by the menu image is finished at that time (step S 111 : N, S 115 : N, S 116 : N).
- the operator can easily select the process with a desired content while watching the own mirrored moving image shown on the screen of the display device 3 . Furthermore, the operator can enter instructions while checking the own behavior on the screen at any time, which prevents the operator from averting his/her eyes from the display device 3 as in the case of using an input device such as a keyboard.
- the image processing system links an object image to a program that causes the main CPU 10 to execute an event to be subjected to image processing so that processing of the relevant event is executed according to the action of the operator within the mirrored moving image on the object image.
- this embodiment shows a case of using an image of a matchstick and an image of a flame expressing that the matchstick ignites and burns.
- the image of the matchstick which is the object image
- a program to display an ignition animation indicating that the matchstick has ignited on the display device 3 .
- the ignition animation is designed to appear in the ignition part of the image of the matchstick.
- the image of the flame is displayed when the operator strikes the image of the matchstick.
- the image of the flame can be generated using a technique of, for example, recursive texture drawing.
- the “recursive texture drawing” refers to a drawing technique of referencing an image of an object rendered by texture mapping as texture of another image and carrying out texture mapping recursively.
- Textture mapping is a technique of rendering an image of an object to enhance the texture of the image by pasting bitmap data of the texture to the surface of the object and can be implemented by also using the frame memory 15 as a texture memory.
- gouraud shading is applied to a polygon on which the texture is drawn, that is, the brightness at vertices of the polygon is, calculated and the brightness inside the polygon is calculated by interpolating the brightness of each vertex (this technique is called “gouraud shading drawing”).
- the positions of vertices of a mesh which is the source of the flame image are shifted using random numbers as shown in FIG. 10 and the positions of new vertices are determined.
- the brightness at the vertices is also determined based on random numbers.
- the positions of the vertices and brightness at the vertices are determined every time the frame is updated. Every unit of the mesh which is the source of the flame image becomes a polygon.
- the image that becomes the basis of the flame drawn in the frame memory 15 is formed through the above-described recursive texture drawing and the above-described gouraud shading is applied based on the brightness at each vertex of the polygon. This makes it possible to express a rising air current caused by the flame, shimmering, attenuation of the flame in a more realistic way.
- the image processor 2 shows a combined image with the image of a matchstick superimposed on the mirrored moving image of the operator on the display device 3 .
- the target is the operator's hand.
- the program linked to the image of the matchstick is executed and the ignition animation is displayed on the display device 3 .
- FIG. 8 shows the processing procedure using the image processor 2 to realize such an operation.
- the difference value detector 107 compares image features of the mirrored moving images included in the combined images before and after the updating, calculates a difference value of the image in the ignition section of the image of the matchstick and generates a difference image of the ignition section of the image of the matchstick (step S 202 ).
- the difference value calculated here is a value that quantitatively expresses the movement of the hand in the ignition section of the image of the matchstick.
- the difference value generated is an image made up of the images of the hand before and after moving the hand in the ignition section of the image of the matchstick.
- the calculated difference value is recorded in the main memory 11 and cumulatively added for a certain period of time (step S 203 ).
- the difference value detector 107 sends the cumulative sum, which is the cumulative sum of the difference images and difference values to the object controller 105 .
- the object controller 105 determines the color of the difference image according to the cumulative sum received from the difference value detector 107 and generates a flame image based on this difference image (step S 204 ).
- the flame image is generated, for example, by dividing the difference image into meshes and using the aforementioned recursive texture based on these meshes.
- the color of the flame image is determined according to the color of the difference image.
- the flame image generated is superimposed on the ignition section of the image of the matchstick.
- the flame image with the color according to the amount of movement of the hand added is displayed in the area showing the movement of the hand in the ignition section of the image of the matchstick.
- Determining the color of the flame image according to the cumulative sum of difference values makes it possible, for example, to express how the color of the flame image displayed in the ignition section of the matchstick gradually changes according to the amount of movement of the hand.
- the object controller 105 compares the value indicating the color of the flame image with a predetermined threshold (step S 205 ). For example, if the color of the flame image is expressed by R, G and B values, the sum of their respective values can be used.
- step S 205 When the value indicating the color is equal to or greater than the threshold (step S 205 : Y), the object controller 105 determines to execute the program that displays the ignition animation indicating that the match has ignited (step S 206 ).
- whether or not to start the ignition animation is determined according to the color of the flame image. For example, when the color of the flame image changes from red to yellow according to the amount of movement of the hand, the ignition animation starts when the flame images turns yellow. The operator can know a rough amount of additional movement of the hand required to start the ignition animation.
- the superimposing image generator 106 generates a combined image superimposing the ignition animation on the object image including the matchstick image and flame image, on the mirrored moving image obtained from the video camera 1 (step S 207 ).
- the ignition animation is displayed in the ignition section of the matchstick image.
- step S 205 When the value indicating the color is smaller than the threshold (step S 205 : N), the object controller 105 sends the object image superimposing the flame image on the matchstick image to the superimposing image generator 106 .
- the superimposing image generator 106 generates a combined image by superimposing this object image on the mirrored moving image obtained from the video camera 1 (step S 208 ).
- step S 209 Y
- step S 209 N
- the routine returns to step S 201 and the display controller 108 displays the combined image generated in step S 207 or step S 208 on the display device 3 .
- the system executes the process of determining whether or not to execute the program for displaying the ignition animation linked to the matchstick image according to how much the operator moves his/her hand in the ignition section of the matchstick image.
- the image processor 2 shows a combined image with a cursor (pointer) image, which is an example of an object image, superimposed on the mirrored moving image of the operator on the display device 3 as shown in FIG. 13 ( a ). Also suppose a plurality of targets such as the hand, eyes, mouth of the operator are included in the mirrored moving image.
- the cursor image is an image like a face with an emphasis put on the eyes, which allows the eyes to be oriented toward the target. Furthermore, the cursor image moves following the movement of the target. That is, when the cursor image is distant from the target, the cursor image moves toward the target and when the cursor image catches the target, the cursor image follows the movement of the target.
- FIG. 11 and FIG. 12 show the processing procedure using the image processor 2 to realize such an operation.
- the difference value detector 107 compares image features of the mirrored moving image included in the combined images before and after the updating and calculates the difference value thereof (step S 302 ).
- the difference value calculated here is a value quantifying the movements of the hands, eyes, mouth, etc. of the operator, which become candidates of the target in the mirrored moving image.
- the difference value detector 107 sends the difference value of each target to the object controller 105 .
- the object controller 105 detects one target based on the difference value of each target sent from the difference value detector 107 (step S 303 ). For example, the object controller 105 detects a target whose difference value reaches a maximum. In this example, suppose the operator's hand is detected as the target.
- the object controller 105 determines how the cursor image is displayed according to the target.
- the object controller 105 determines whether the target in the combined image updated in step S 310 is outside the cursor image or not (step S 304 ). If the target is within the cursor image (step S 304 : N), the object controller 105 determines that the cursor image has caught the target (step S 308 ).
- step S 304 determines that the cursor image has not caught the target and carries out processing for determining how the cursor image is displayed. That is, the object controller 105 generates a cursor image so that the eyes in the cursor image are oriented toward the target.
- the object controller 105 determines the speed at which the cursor image moves toward the target according to the distance between the cursor image and target (step S 306 ). This speed is adjusted to increase as the cursor image moves away from the target. This makes it possible to obtain an image in which the cursor moves toward the target faster as the cursor image stays farther from the target.
- the superimposing image generator 106 superimposes such a cursor image on the mirrored moving image of the next frame and thereby generates a combined image as shown in FIG. 13 ( a ) (step S 307 ). Then, the routine goes back to step S 301 and performs the same operation for the combined image generated.
- the routine carries out the operations of step S 301 to S 307 until the cursor image catches the target, that is, until it is determined in step S 304 that the target is within the cursor image.
- Such operations can provide an image as shown in FIG. 13 ( a ) in which the eyes in the cursor image are oriented toward the target (hand) and the cursor image chases after the target.
- the difference value detector 107 stores the image of the target at that time as a template image (step S 309 ).
- the difference value detector 107 stores the section of the mirrored moving image that overlaps with the cursor image as the template image.
- the difference value detector 107 acquires the mirrored moving image of the next frame from the image inverter 102 (step S 310 ).
- the difference value detector 107 searches for the position of an image that matches the stored template image from among the acquired mirrored moving images (step S 311 ).
- the difference value detector 107 divides the acquired mirrored moving image into areas of the same size as the template image and searches for an image in the area most resembling the template image from among the images in the respective divided areas. Upon detecting the matched image as a result of the search, the difference value detector 107 reports the position of the detected image to the object controller 105 .
- the object controller 105 determines the position reported from the difference value detector 107 as the position of the cursor image for the next combined image (step S 312 ).
- the superimposing image generator 106 superimposes the cursor image at the position determined in step S 312 by the object controller 105 on the same mirrored moving image as the mirrored moving image acquired in step S 310 by the difference value detector 107 and thereby generates a combined image as shown in FIG. 13 ( b ) (step S 313 ). Then, the frame is updated and the display controller 108 displays the combined image generated on the display device 3 (step S 314 ).
- step S 309 to step S 314 obtains an image in which the cursor image follows the target. That is, when the cursor image catches the target (hand) as shown in FIG. 13 ( b ), the cursor image is displayed thereafter following the target wherever the target moves. Even when the operator extends the hand as shown in FIG. 13 ( b ) to FIG. 13 ( c ), the cursor image is displayed at the tip of the extended hand of the operator together with the movement of the hand recognized as the target.
- the trace of the movement of the cursor image is set to be kept and displayed, it is possible to show the trace of the movement of the target on the display device 3 .
- the present invention allows the operator to enter or select the data easily using the mirrored moving image while watching the combined image displayed on the display device, and can thereby provide a user-friendly input interface without the need to get accustomed thereto.
Abstract
An image processor is provided which utilizes images taken by an imaging device, e.g., a digital camera, as an input interface to enter commands, etc. A memory is operable to store in real time a series of images of a location captured by the imaging device over time. A detector detects a target captured in the series of images and a quantitative value of a movement component of the target by detecting differences between features of the captured series of images between points in time. An image generator is operable to generate an object image, the object image following a movement of the detected target and including an image representing a trace of the movement. An image generator generates a combined image from the object image and an image from the captured series of images. An output is operable to output in real time a signal representing the combined image at the location captured in the series of images.
Description
- This application is a division of U.S. patent application Ser. No. 10/872,917 filed Jun. 21, 2004, which is a continuation of U.S. patent application Ser. No. 09/971,962 filed Oct. 5, 2001, the disclosures of both of these applications being hereby incorporated by reference herein. U.S. patent application Ser. No. 09/971,962 is based upon and claims the benefit of priority from the prior Japanese Patent Applications Nos. 2000-307574 filed Oct. 6, 2000, and 2001-295098 filed Sep. 26, 2001, the entire contents of these Japanese patent applications which are incorporated herein by reference.
- The present invention relates to an image processing technology for using an image taken by an image pickup apparatus such as a video camera as an interface for inputting commands, etc.
- A keyboard, mouse, controller, etc. are input devices often used for a computer, video game machine, etc. The operator inputs desired commands by operating these input devices to render a computer, etc. to execute processing according to the commands entered. Then, the operator sees images and listens to sound, etc. obtained as the processing results from a display device and speaker.
- The operator enters commands by operating many buttons provided on the input device while watching a cursor shown on the display device.
- Such operations greatly depend on operating experiences of the operator. For example, for a person who never touched the keyboard before, entering desired commands using the keyboard is quite troublesome and time-consuming, and prone to input errors due to mistyping from the keyboard. For this reason, there is a demand for a man-machine interface that will provide the operator with an easy way to operate.
- On the other hand, with the progress of multimedia technologies, people in general households can now readily enjoy capturing images using a video camera into a computer, etc., editing and displaying the images on a display device. Such technologies are also used for personal authentication by analyzing images of a physical body such as a face, extracting characteristic parts thereof to identify individuals.
- Conventionally, these images are used as information to be processed by a computer such as editing or analysis. However, images taken have not been used so far for a purpose such as entering commands to a computer, for example.
- It is an object of the present invention to provide an image processing technology to use images taken by an image pickup apparatus, etc. as an input interface to enter commands, etc.
- According to an aspect of the invention, an image processor is provided which includes a memory operable to store in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time. The image processor further includes a detector operable to detect the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time. An image generator is included in the image processor, and is operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement, the image generator being further operable to generate a combined image from the object image and an image from the captured series of images. The image processor further includes an output operable to output in real time a signal representing the combined image at the location captured in the series of images.
- According to one or more preferred aspects of the invention, the image processor is operable to produce a combined image in which the combined image includes a mirrored image of the target.
- According to one or more preferred aspects of the invention, the output of the image processor is operable to output the signal representing the combined image to a predetermined display device.
- According to one or more preferred aspects of the invention, the target is a first target, the captured series of images at least partially includes a plurality of targets including the first target, each of the plurality of targets being subject to move within the captured series of images from one point in the time to another point in the time, and the detector is operable to detect the quantitative value of the movement component of each of the plurality of targets and to detect a particular one of the plurality of targets based on the detected quantitative values of the movement components of the plurality of targets such that the object image follows the movement of the particular target, and the image representing the trace of the movement represents the trace of the movement of the particular target.
- In accordance with one or more preferred aspects of the invention, the object image is associated with predetermined processing and the image generator is further operable to perform the predetermined processing when the detected quantitative value of the movement component satisfies a predetermined condition.
- According to one or more preferred aspects of the invention, the detected quantitative value of the movement component includes a rate of movement of the target.
- According to one or more preferred aspects of the invention the detected quantitative value of the movement component includes a cumulative amount of movement of the target.
- In accordance with another aspect of the invention, an image processing method is provided which includes the following:
-
- storing in real time a series of images of a location captured by an imaging device overtime, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time;
- detecting the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time;
- generating an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement;
- generating a combined image from the object image and an image from the captured series of images; and
- outputting in real time a signal representing the combined image at the location captured in the series of images.
- In accordance with another aspect of the invention, a computer-readable recording medium is provided which has instructions recorded thereon, the instructions being executable by a computer or image processing system to perform a method, wherein the method includes the following:
-
- storing in real time a series of images of a location captured by an imaging device overtime, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time;
- detecting the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time;
- generating an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement;
- generating a combined image from the object image and an image from the captured series of images; and
- outputting in real time a signal representing the combined image at the location captured in the series of images.
- In accordance with another aspect of the invention, a system is provided which is operable to process an image. The system includes one or more semiconductor devices, and the one or more semiconductor devices include:
-
- a memory operable to store in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time,
- a detector operable to detect the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time,
- an image generator operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement, the image generator being further operable to generate a combined image from the object image and an image from the captured series of images, and
- an output operable to output in real time a signal representing the combined image at the location captured in the series of images.
- According to a further preferred aspect of the invention, an image processor includes a memory operable to store an image from a series of real time images of a location captured by an imaging device over time, the stored image at least partially including a target that is subject to movement from one point in the time to another point in the time. The image processor further includes a detector operable to detect the target and a movement component thereof by detecting features of the captured images at different points in the time, and includes an image generator operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement. Such image generator is further operable to generate a combined image from the object image and the stored image and to output in real time a signal representing the combined image, to permit the combined image to be displayed to the location imaged by the imaging device.
- In accordance with an aspect of the invention, an image processor is operable to generate object images according to the movements of targets included in the mirrored moving image. That is, the movement, color, shape of the object image to be displayed on the display device and if there is a plurality of object images, which object image should be displayed, etc. are determined by the movement of the target. For example, if the target is the operator, the object is determined according to the movement of the operator. Thus, the mirrored moving image is available as a kind of input interface.
- It is also possible to comprise means for making preparations for executing required processing based on the generated object image according to the movement component of the target.
- It is also possible to further comprise means for comparing a combined image obtained by combining the object image generated by the image generating means and the mirrored moving image at the actual time point, with a template image which is the image of part of the target included in the immediately preceding mirrored moving image, detecting the part of the combined image whose image feature is most resembling the template image and making preparations for executing required processing based on this object image when the image of the part of the detected combined image includes the object image.
- By associating the object image with predetermined processing and further comprising means for executing the processing linked to the object image when the movement component of the target detected by the detecting means satisfies predetermined conditions, it is possible to execute processing using the movement of the target as an input.
- It is also possible to construct the image processor so that the mirrored moving image includes a plurality of targets, construct the detecting means to detect the movement components of the plurality of targets and detect one target based on the respective movement components of the detected plurality of targets, construct the image generating means to change the object image according to the movement component of the one target detected by the detecting means.
- According to still other aspects of the invention, a recording medium is provided having instructions recorded thereon for performing a method such as described above, and a semiconductor device is provided which has functions to perform such method.
- These objects and other objects and advantages of the present invention will become more apparent upon reading of the following detailed description and the accompanying drawings in which:
-
FIG. 1 is an overall configuration diagram of an image processing system applying the present invention; -
FIG. 2 is a configuration diagram of an image processor according to an embodiment of the present invention; -
FIG. 3 is a functional block diagram of the image processor according to the embodiment of the present invention; -
FIG. 4 is a flow chart showing a processing procedure ofEmbodiment 1; -
FIG. 5 is a flow chart showing a processing procedure ofEmbodiment 1; -
FIG. 6 illustrates a combined image according toEmbodiment 1; -
FIG. 7 illustrates a menu image; -
FIG. 8 is a flow chart showing a processing procedure ofEmbodiment 2; -
FIG. 9 illustrates a combined image according toEmbodiment 2; -
FIG. 10 is a view illustrating a drawing using a recursive texture; -
FIG. 11 is a flow chart showing a processing procedure ofEmbodiment 3; -
FIG. 12 is a flow chart showing a processing procedure ofEmbodiment 3; and -
FIG. 13 illustrates a combined image according toEmbodiment 3. - An embodiment of the present invention will be specifically described with reference to the drawings accompanying herewith.
-
FIG. 1 is a configuration example of an image processing system applying the present invention. - This image processing system takes pictures of the operator who sits in front of a
display device 3 using an analog ordigital video camera 1. In this way, the image processing system captures moving images into animage processor 2 consecutively in a time series to generate mirrored moving images. Of these mirrored moving images, the image processing system combines object images expressing objects such as a menu and cursor at positions where remarked objects such as the eyes and hands of the operator (hereinafter the remarked objects are referred to as “targets”) to generate a combined image (this, too, becomes a moving image) and displays this combined image on thedisplay device 3 in real time. - A mirrored moving image can be generated by subjecting the moving image captured from the
video camera 1 to mirroring (right/left inversion of image) by theimage processor 2, but it is also possible to place a mirror in front of thevideo camera 1 and take pictures of a moving image on the mirror surface reflecting the operator by thevideo camera 1 to form a mirrored moving image. In any case, a combined image whose display mode changes in real time according to the movement of the target is displayed on thedisplay device 3. - The
image processor 2 is implemented by a computer that forms the required functions using a computer program. - The computer according to this embodiment whose hardware configuration is shown by way of example in
FIG. 2 has two buses; a main bus B1 and sub bus B2 to which a plurality of semiconductor devices each having specific functions is connected. These buses B1 and B2 are mutually connected or disconnected via a bus interface INT. - The main bus B1 is connected to a
main CPU 10 which is a main semiconductor device, amain memory 11 made up of a RAM, a main DMAC (Direct Memory Access Controller) 12, an MPEG (Moving Picture Experts Group) decoder (MDEC) 13 and a graphic processing unit (hereinafter referred to as “GPU”) 14 incorporating aframe memory 15 which serves as a drawing memory. TheGPU 14 is connected with a CRTC (CRT controller) 16 for generating a video signal so as to display the data drawn in theframe memory 15 on thedisplay device 3. - The
CPU 10 loads a start program from theROM 23 on the sub bus B2 at the startup via the bus interface INT, executes the start program and operates an operating system. TheCPU 10 also controls themedia drive 27, reads an application program or data from the medium 28 mounted in thismedia drive 27 and stores this in themain memory 11. TheCPU 10 further applies geometry processing (coordinate value calculation processing) to various data read from the medium 28, for example, three-dimensional object data (coordinate values of vertices (typical points) of a polygon, etc.) made up of a plurality of basic graphics (polygons) and generates a display list containing geometry-processed polygon definition information (specifications of shape of the polygon used, its drawing position, type, color or texture, etc. of components of the polygon). - The
GPU 14 is a semiconductor device having the functions of storing drawing context (drawing data including polygon components), carrying out rendering processing (drawing processing) by reading necessary drawing context according to the display list notified from themain CPU 10 and drawing polygons in theframe memory 15. Theframe memory 15 can also be used as a texture memory. Thus, a pixel image in the frame memory can be pasted as texture to a polygon to be drawn. - The
main DMAC 12 is a semiconductor device that carries out DMA transfer control over the circuits connected to the main bus B1 and also carries out DMA transfer control over the circuits connected to the sub bus B2 according to the condition of the bus interface INT. TheMDEC 13 is a semiconductor device that operates in parallel with theCPU 10 and has the function of expanding data compressed in MPEG (Moving Picture Experts Group) or JPEG (Joint Photographic Experts Group) systems, etc. - The sub bus B2 is connected to a
sub CPU 20 made up of a microprocessor, etc., asub memory 21 made up of a RAM, asub DMAC 22, aROM 23 that records a control program such as operating system, a sound processing semiconductor device (SPU: Sound Processing Unit) 24 that reads sound data stored in thesound memory 25 and outputs as audio output, a communication control section (ATM) 26 that transmits/receives information to/from an external apparatus via a network (not shown), amedia drive 27 for setting a medium 28 such as CD-ROM and DVD-ROM and aninput device 31. - The
sub CPU 20 carries out various operations according to the control program stored in theROM 23. Thesub DMAC 22 is a semiconductor device that carries out control such as a DMA transfer over the circuits connected to the sub bus B2 only when the bus interface INT separates the main bus B1 from sub bus B2. Theinput unit 31 is provided with aconnection terminal 32 through which an input signal from an operatingdevice 35 is input, aconnection terminal 33 through which an image signal from avideo camera 1 is input and aconnection terminal 34 through which a sound signal from thevideo camera 1 is input. - This Specification will only explain about images and omit explanations of sound for convenience.
- In the computer constructed as shown above, and with reference to
FIG. 3 , themain CPU 10,sub CPU 20 andGPU 14 read and execute a predetermined computer program from the recording medium such as theROM 23 andmedium 28, and thereby form a functional block necessary for operating as theimage processor 2, that is, animage input device 101, animage inverter 102, an objectdata storage device 103, an objectdata input device 104, anobject controller 105, a superimposingimage generator 106, adifference value detector 107 and adisplay controller 108. - In the relationship with the hardware shown in
FIG. 1 , theimage input device 101 is formed by theinput device 31 and thesub CPU 20 that controls the operation thereof, theimage inverter 102, the objectdata input device 104, theobject controller 105 and thedifference value detector 107 are formed by theCPU 10 and the superimposingimage generator 106 are formed by theGPU 104, and thedisplay controller 108 is formed by theGPU 14 andCRTC 16 cooperating with each other. The objectdata storage device 103 is formed in a memory area accessible to themain CPU 10, for example, themain memory 11. - The
image input device 101 incorporates images taken by thevideo camera 1 via theconnection terminal 33 of theinput device 31. In the case where the image entered is a digital image, theimage input device 101 incorporates the image as is. In the case where the image taken and entered is an analog image, theimage input device 101 incorporates the image after converting it from analog to digital. - The
image inverter 102 subjects the image incorporated by theimage input device 101 to mirroring, that is, right/left inversion to form a mirrored moving image. - The object
data storage device 103 stores object data to express objects such as a menu (including a submenu), matchstick, and cursor together with identification data thereof. - The object
data input device 104 incorporates necessary object data from the objectdata storage device 103 and sends the object data to theobject controller 105. The object data to be incorporated is instructed by theobject controller 105. - The
object controller 105 generates an object image based on the object data incorporated from the objectdata input section 104 according to the instruction content. Especially, theobject controller 105 determines the object display condition based on a difference value sent from thedifference value detector 107 and generates an object image to realize the display condition. The difference value will be described later. - The superimposing
image generator 106 draws a combined image obtained by superimposing the mirrored moving image output from theimage inverter 102 on the object image generated by theobject controller 105 in theframe memory 15. - By the way, in addition to generating a combined image by superimposing the object image, it is also possible to display the object image on the mirrored moving image using publicly known imposing processing.
- The
difference value detector 107 compares the image features of the mirrored moving image of the combined image generated by the superimposingimage generator 106 frame by frame and derives the difference value of the image features between the mirrored moving images of the preceding and following frames. Furthermore, thedifference value detector 107 generates a difference image between the mirrored moving images of the preceding and following frames as required. - The difference value in the image features is a value quantitatively expressing a variation per frame of the movement component of the target included in the mirrored moving image. For example, the difference value indicates a distance that the target has moved in the mirrored moving image or an area between the area after the movement and the area before the movement.
- When a plurality of targets is included within one mirrored moving image, a difference value in the image features expresses a variation in the movement of each target, and therefore it is possible to quantitatively calculate the variation in the movement of each target by calculating this difference value.
- The difference image is an image expressing a variation in the movement per frame of each target included in the mirrored moving image at every point in time. For example, when a target moves between two mirrored moving images, the difference image is an image made up of the image of the target before the movement and the image of the target after the movement.
- In order to derive the difference value and difference image, the
difference value detector 107 stores a certain mirrored moving image as a “reference image” relative to mirrored moving images of other frames in themain memory 11. The mirrored moving image to be stored may be a full one-frame worth mirrored moving image or may be a mirrored moving image that is only part of the target because all that is required is to make it possible to derive a difference value in the image features. - In the following explanations, whenever a distinction should be made between an image of part of a target and an image of the rest of the target, such an image is called “template image”.
- The difference value detected by the
difference value detector 107 is sent to theobject controller 105 and used to control movements of object images. - The
display controller 108 converts the combined image generated by superimposingimage generator 106 to a video signal and outputs the video signal to thedisplay device 3. Thedisplay device 3 displays the combined image (moving image) on a screen using this video signal. - <Image Processing Method>
- An embodiment of the image processing method carried out using the above-described image processing system will now be explained.
- On the
display device 3, as shown inFIG. 6 , suppose theimage processor 2 displays a combined image consisting of the mirrored moving image of the operator taken by thevideo camera 1 and subjected to mirroring with a menu image as an example of an object image superimposed. - As a target, it is possible to select various objects such as the eyes, mouth, hands, etc. of the operator. Here, a case will be described where the operator's hand is the target and instructions are entered to the menu image by detecting the amount of movement of the hand in the area in which the menu image is displayed.
- The menu image has a hierarchic structure as shown in
FIG. 7 . When the operator selects “menu” at the top layer, a pull-down image highlighting one of “select1”, “select2” or “select3” at the lower layer is displayed and when one item is selected from the pull-down image, the process determining image (for example, “process 21”, “process 22”, “process 23”, “process 24”) of the menu at the lower layer of the selected pull-down image are displayed. - The process determining image is stored in the object
data storage device 103 linked to the program to render themain CPU 10 to execute the determined process (event) and when a certain process determining image is selected, the program linked thereto starts to execute the corresponding process (event). -
FIG. 4 andFIG. 5 show the procedure for processing by theimage processor 2 to enable such an operation. - First, with reference to
FIG. 4 , thedifference value detector 107 updates the mirrored moving image to that of the next frame and when the combined image generated by the superimposingimage generator 106 is thereby updated (step S101), image features of the mirrored moving image included in the preceding and following combined images to be updated are compared and the difference value is calculated (step S102). The difference value calculated here is a value expressing one movement of the operator's hand in the area in which the menu image is displayed. The difference values calculated are recorded in themain memory 11 and cumulatively added for a certain period of time (step S103). The reason that difference values are cumulatively added is that the operator's will about the operation instruction is detected by theimage processor 2 based on a plurality of movements of the operator's hand. If the operator's will about the operation instruction can be checked according to the amount of one time movement of the hand, cumulative addition need not always be performed. - The
difference value detector 107 sends the difference value (cumulative sum) to theobject controller 105. - The
object controller 105 determines the color of the menu image according to the difference value (cumulative sum) received from the difference value detector 107 (step S104). For example, a plurality of colors of the menu image is provided and the color is changed one by one every time a movement of the hand is detected. It is also possible to change the color from transparent to semitransparent, opaque, etc. Or the actual difference value (cumulative sum) is compared with a predetermined threshold (step S105) and if the cumulative sum is smaller than the threshold (step S105: N), the routine goes back to step S101 assuming that it is not sufficient to determine that “menu” of the menu screen has been selected. - When the cumulative sum exceeds the threshold (step S105: Y), the
object controller 105 determines that “menu” of the menu screen has been selected, shows a pull-down image and reports it to the difference value detector 107 (step S106). - Thus, when the cumulative sum of the movement of the operator's hand detected in the area in which the menu image is displayed exceeds the threshold, the
object controller 105 detects that “menu” of the menu image has been selected and shows the pull-down image. The color of the menu image changes according to the cumulative sum of the amount of movement of the hand, and therefore the operator can know a rough amount of additional movement of the hand required to select “menu”. - Furthermore, since the
display device 3 shows a mirrored moving image, the operator can perform the above-described operation in much the same way the operator looks in a mirror, providing a man-machine interface easy-to-operate for the operator. - Thus, according to
FIG. 5 , when it is detected that “menu” on the menu screen has been selected, that is, the difference value (cumulative sum) has exceeded the threshold, thedifference value detector 107 stores the image of the operator's hand (target) at that time as a template image (step S107). - When the frame is updated and the menu image is thereby replaced by the pull-down image in its subordinate layer and a combined image is shown (step S108), a search is started for the location of the image of the operator's hand in the new combined image. That is, the
difference value detector 107 searches for an image that matches the template image from the combined image (step S109). - More specifically, the
difference value detector 107 divides the combined image into areas in the same size as that of the template image and searches for the image most resembling the template image from among the images in the respective areas after the division. The image most resembling the template image in the area is, for example, when the sum total of absolute values (or squares) of differences between pixels of the images compared can be expressed as distances, an image whose distance from the template image is a minimum. - When a matched image is found (step S110: Y), it is determined whether the matched image is a pull-down image or not (step S111). If the matched image is a pull-down image (step S111: Y), the area of the pull-down image is detected from “select1”, “select2” or “select3” (step S112). The detected pull-down image becomes the pull-down image indicated and selected by the operator. Information on the selected pull-down image is reported from the
difference value detector 107 to theobject controller 105. - The
object controller 105 reads a process-determining image accompanying the selected pull-down image from the objectdata storage device 103 and generates an object image to which this process-determining image is attached (step S113). - In this way, the
display device 3 shows how the menus are selected one after another by the operator. - In the example in
FIG. 7 , the pull-down image of “select2” is selected from the menu image at the top layer and the process determining images (“process 21”, “process 22”, “process 23” and “process 24”) accompanying the pull-down image of “select2” are displayed. - The template image is replaced by a new one for every frame.
- That is, the
difference value detector 107 discards the template image used for the preceding frame and stores the above-described matched image (image of the operator's hand used to select the pull-down image) as a new template image (step S114). Then, the routine returns to step S108 to specify any one of the process determining images (“process 21”, “process 22”, “process 23” and “process 24”) as shown above. - In step S111, when the matched image is outside the area of the pull-down image but is any one of the process determining images within the process determining image area (step S111: N, S115: Y), the process determining image is assumed to have been selected and the content of the process linked thereto is determined, that is, the program is made executable and the process using the menu image is finished (step S118).
- When the matched image is outside the areas of the pull-down image and the process determining image but within the menu image area (step S111: N, S115: N, S116: Y), this means that the operator attempts to select another pull-down image, and therefore the routine discards the template image, stores the matched image as a new template image and returns to step S108 (step S117).
- Instep S110, when no matched image to be compared is found (step S110: N) or when a matched image is found but is an image outside the area of the menu image, the process by the menu image is finished at that time (step S111: N, S115: N, S116: N).
- By carrying out processing according to the menu image in the above procedure, the operator can easily select the process with a desired content while watching the own mirrored moving image shown on the screen of the
display device 3. Furthermore, the operator can enter instructions while checking the own behavior on the screen at any time, which prevents the operator from averting his/her eyes from thedisplay device 3 as in the case of using an input device such as a keyboard. - The image processing system according to this embodiment links an object image to a program that causes the
main CPU 10 to execute an event to be subjected to image processing so that processing of the relevant event is executed according to the action of the operator within the mirrored moving image on the object image. - As an example of an object image to be superimposed on the mirrored moving image, this embodiment shows a case of using an image of a matchstick and an image of a flame expressing that the matchstick ignites and burns.
- As a premise, the image of the matchstick, which is the object image, is linked beforehand to a program to display an ignition animation indicating that the matchstick has ignited on the
display device 3. Then, when the operator in the mirrored moving image behaves as if he/she struck the image of the match within the combined image, the ignition animation is designed to appear in the ignition part of the image of the matchstick. The image of the flame is displayed when the operator strikes the image of the matchstick. - The image of the flame can be generated using a technique of, for example, recursive texture drawing.
- The “recursive texture drawing” refers to a drawing technique of referencing an image of an object rendered by texture mapping as texture of another image and carrying out texture mapping recursively. “Texture mapping” is a technique of rendering an image of an object to enhance the texture of the image by pasting bitmap data of the texture to the surface of the object and can be implemented by also using the
frame memory 15 as a texture memory. When carrying out such recursive texture drawing, gouraud shading is applied to a polygon on which the texture is drawn, that is, the brightness at vertices of the polygon is, calculated and the brightness inside the polygon is calculated by interpolating the brightness of each vertex (this technique is called “gouraud shading drawing”). - To express the flame image, the positions of vertices of a mesh which is the source of the flame image are shifted using random numbers as shown in
FIG. 10 and the positions of new vertices are determined. The brightness at the vertices is also determined based on random numbers. The positions of the vertices and brightness at the vertices are determined every time the frame is updated. Every unit of the mesh which is the source of the flame image becomes a polygon. - On each polygon, the image that becomes the basis of the flame drawn in the
frame memory 15 is formed through the above-described recursive texture drawing and the above-described gouraud shading is applied based on the brightness at each vertex of the polygon. This makes it possible to express a rising air current caused by the flame, shimmering, attenuation of the flame in a more realistic way. - Suppose the
image processor 2 shows a combined image with the image of a matchstick superimposed on the mirrored moving image of the operator on thedisplay device 3. Here, suppose the target is the operator's hand. By detecting the amount of movement of the hand in the area in which the image of the matchstick is displayed, the program linked to the image of the matchstick is executed and the ignition animation is displayed on thedisplay device 3. -
FIG. 8 shows the processing procedure using theimage processor 2 to realize such an operation. - When the mirrored moving image is updated to the image of the next frame and the combined image generated by the superimposing
image generator 106 is thereby updated (step S301), thedifference value detector 107 compares image features of the mirrored moving images included in the combined images before and after the updating, calculates a difference value of the image in the ignition section of the image of the matchstick and generates a difference image of the ignition section of the image of the matchstick (step S202). The difference value calculated here is a value that quantitatively expresses the movement of the hand in the ignition section of the image of the matchstick. The difference value generated is an image made up of the images of the hand before and after moving the hand in the ignition section of the image of the matchstick. - The calculated difference value is recorded in the
main memory 11 and cumulatively added for a certain period of time (step S203). - The
difference value detector 107 sends the cumulative sum, which is the cumulative sum of the difference images and difference values to theobject controller 105. - The
object controller 105 determines the color of the difference image according to the cumulative sum received from thedifference value detector 107 and generates a flame image based on this difference image (step S204). The flame image is generated, for example, by dividing the difference image into meshes and using the aforementioned recursive texture based on these meshes. The color of the flame image is determined according to the color of the difference image. The flame image generated is superimposed on the ignition section of the image of the matchstick. - In this way, the flame image with the color according to the amount of movement of the hand added is displayed in the area showing the movement of the hand in the ignition section of the image of the matchstick.
- Determining the color of the flame image according to the cumulative sum of difference values makes it possible, for example, to express how the color of the flame image displayed in the ignition section of the matchstick gradually changes according to the amount of movement of the hand.
- Then, the
object controller 105 compares the value indicating the color of the flame image with a predetermined threshold (step S205). For example, if the color of the flame image is expressed by R, G and B values, the sum of their respective values can be used. - When the value indicating the color is equal to or greater than the threshold (step S205: Y), the
object controller 105 determines to execute the program that displays the ignition animation indicating that the match has ignited (step S206). - That is, whether or not to start the ignition animation is determined according to the color of the flame image. For example, when the color of the flame image changes from red to yellow according to the amount of movement of the hand, the ignition animation starts when the flame images turns yellow. The operator can know a rough amount of additional movement of the hand required to start the ignition animation.
- The superimposing
image generator 106 generates a combined image superimposing the ignition animation on the object image including the matchstick image and flame image, on the mirrored moving image obtained from the video camera 1 (step S207). The ignition animation is displayed in the ignition section of the matchstick image. - When the value indicating the color is smaller than the threshold (step S205: N), the
object controller 105 sends the object image superimposing the flame image on the matchstick image to the superimposingimage generator 106. The superimposingimage generator 106 generates a combined image by superimposing this object image on the mirrored moving image obtained from the video camera 1 (step S208). - Then, if, for example, an instruction for finishing the processing is received from the
operation device 35, the processing is finished (step S209: Y). If no instruction for finishing the processing is received (step S209: N), the routine returns to step S201 and thedisplay controller 108 displays the combined image generated in step S207 or step S208 on thedisplay device 3. - As shown above, the system executes the process of determining whether or not to execute the program for displaying the ignition animation linked to the matchstick image according to how much the operator moves his/her hand in the ignition section of the matchstick image.
- Since the operator can perform operations for executing various events while watching the mirrored moving image, it is possible to perform input operations for executing processes more easily than conventional operations using input devices such as a keyboard and mouse.
- Another embodiment will now be explained. As a premise, suppose the
image processor 2 shows a combined image with a cursor (pointer) image, which is an example of an object image, superimposed on the mirrored moving image of the operator on thedisplay device 3 as shown inFIG. 13 (a). Also suppose a plurality of targets such as the hand, eyes, mouth of the operator are included in the mirrored moving image. - Here, a case will be explained whereby focusing on the movement of the operator's hand from the plurality of these targets, the cursor image is expressed in such a way as to follow this movement of the hand.
- As shown in
FIG. 13 (a), the cursor image is an image like a face with an emphasis put on the eyes, which allows the eyes to be oriented toward the target. Furthermore, the cursor image moves following the movement of the target. That is, when the cursor image is distant from the target, the cursor image moves toward the target and when the cursor image catches the target, the cursor image follows the movement of the target. -
FIG. 11 andFIG. 12 show the processing procedure using theimage processor 2 to realize such an operation. - According to
FIG. 11 , when the mirrored moving image is updated to the image of the next frame and the combined image generated by the superimposingimage generator 106 is thereby updated (step S301), thedifference value detector 107 compares image features of the mirrored moving image included in the combined images before and after the updating and calculates the difference value thereof (step S302). The difference value calculated here is a value quantifying the movements of the hands, eyes, mouth, etc. of the operator, which become candidates of the target in the mirrored moving image. - The
difference value detector 107 sends the difference value of each target to theobject controller 105. - The
object controller 105 detects one target based on the difference value of each target sent from the difference value detector 107 (step S303). For example, theobject controller 105 detects a target whose difference value reaches a maximum. In this example, suppose the operator's hand is detected as the target. - Upon detecting the target, the
object controller 105 determines how the cursor image is displayed according to the target. - First, the
object controller 105 determines whether the target in the combined image updated in step S310 is outside the cursor image or not (step S304). If the target is within the cursor image (step S304: N), theobject controller 105 determines that the cursor image has caught the target (step S308). - If the target is outside the cursor image (step S304: Y), the
object controller 105 determines that the cursor image has not caught the target and carries out processing for determining how the cursor image is displayed. That is, theobject controller 105 generates a cursor image so that the eyes in the cursor image are oriented toward the target. - Furthermore, the
object controller 105 determines the speed at which the cursor image moves toward the target according to the distance between the cursor image and target (step S306). This speed is adjusted to increase as the cursor image moves away from the target. This makes it possible to obtain an image in which the cursor moves toward the target faster as the cursor image stays farther from the target. - The superimposing
image generator 106 superimposes such a cursor image on the mirrored moving image of the next frame and thereby generates a combined image as shown inFIG. 13 (a) (step S307). Then, the routine goes back to step S301 and performs the same operation for the combined image generated. - The routine carries out the operations of step S301 to S307 until the cursor image catches the target, that is, until it is determined in step S304 that the target is within the cursor image.
- Such operations can provide an image as shown in
FIG. 13 (a) in which the eyes in the cursor image are oriented toward the target (hand) and the cursor image chases after the target. - Then, according to
FIG. 12 , when the cursor image catches the target, thedifference value detector 107 stores the image of the target at that time as a template image (step S309). For example, thedifference value detector 107 stores the section of the mirrored moving image that overlaps with the cursor image as the template image. - Then, the
difference value detector 107 acquires the mirrored moving image of the next frame from the image inverter 102 (step S310). Thedifference value detector 107 searches for the position of an image that matches the stored template image from among the acquired mirrored moving images (step S311). - More specifically, the
difference value detector 107 divides the acquired mirrored moving image into areas of the same size as the template image and searches for an image in the area most resembling the template image from among the images in the respective divided areas. Upon detecting the matched image as a result of the search, thedifference value detector 107 reports the position of the detected image to theobject controller 105. - The
object controller 105 determines the position reported from thedifference value detector 107 as the position of the cursor image for the next combined image (step S312). - The superimposing
image generator 106 superimposes the cursor image at the position determined in step S312 by theobject controller 105 on the same mirrored moving image as the mirrored moving image acquired in step S310 by thedifference value detector 107 and thereby generates a combined image as shown inFIG. 13 (b) (step S313). Then, the frame is updated and thedisplay controller 108 displays the combined image generated on the display device 3 (step S314). - Repeating the above-described operations after the target is caught (step S309 to step S314) obtains an image in which the cursor image follows the target. That is, when the cursor image catches the target (hand) as shown in
FIG. 13 (b), the cursor image is displayed thereafter following the target wherever the target moves. Even when the operator extends the hand as shown inFIG. 13 (b) toFIG. 13 (c), the cursor image is displayed at the tip of the extended hand of the operator together with the movement of the hand recognized as the target. - Use of the cursor image allows the operator to know at a glance which position of the part of the own body is functioning as the cursor when selecting a process from the menu image as shown in
Embodiment 1, for example. - Furthermore, if, for example, the trace of the movement of the cursor image is set to be kept and displayed, it is possible to show the trace of the movement of the target on the
display device 3. This makes it possible to show, for example, pictures and characters, etc. drawn in the space on thedisplay device 3. - As is clear from the foregoing explanations, when the operator needs to enter data, etc. the present invention allows the operator to enter or select the data easily using the mirrored moving image while watching the combined image displayed on the display device, and can thereby provide a user-friendly input interface without the need to get accustomed thereto.
- Various embodiments and changes may be made thereunto without departing from the broad spirit and scope of the invention. The above-described embodiment intended to illustrate the present invention, not to limit the scope of the present invention. The scope of the present invention is shown by the attached claims rather than the embodiment. Various modifications made within the meaning of an equivalent of the claims of the invention and within the claims are to be regarded to be in the scope of the present invention.
Claims (10)
1. An image processor, comprising:
a memory operable to store in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time;
a detector operable to detect the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time;
an image generator operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement, the image generator being further operable to generate a combined image from the object image and an image from the captured series of images; and
an output operable to output in real time a signal representing the combined image at the location captured in the series of images.
2. The image processor according to claim 1 , wherein the combined image includes a mirrored image of the target.
3. The image processor according to claim 1 , wherein the output is operable to output the signal representing the combined image to a predetermined display device.
4. The image processor according to claim 1 , wherein the target is a first target, the captured series of images at least partially includes a plurality of targets including the first target, each of the plurality of targets being subject to move within the captured series of images from one point in the time to another point in the time, and the detector is operable to detect the quantitative value of the movement component of each of the plurality of targets and to detect a particular one of the plurality of targets based on the detected quantitative values of the movement components of the plurality of targets such that the object image follows the movement of the particular target, and the image representing the trace of the movement represents the trace of the movement of the particular target.
5. The image processor according to claim 1 , wherein the object image is associated with predetermined processing and the image generator is further operable to perform the predetermined processing when the detected quantitative value of the movement component satisfies a predetermined condition.
6. The image processor according to claim 1 , wherein the detected quantitative value of the movement component includes a rate of movement of the target.
7. The image processor according to claim 1 , wherein the detected quantitative value of the movement component includes a cumulative amount of movement of the target.
8. An image processing method, comprising:
storing in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time;
detecting the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time;
generating an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement;
generating a combined image from the object image and an image from the captured series of images; and
outputting in real time a signal representing the combined image at the location captured in the series of images.
9. A computer-readable recording medium having instructions recorded thereon, the instructions being executable by a computer or image processing system to perform a method, the method comprising:
storing in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time;
detecting the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time;
generating an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement;
generating a combined image from the object image and an image from the captured series of images; and
outputting in real time a signal representing the combined image at the location captured in the series of images.
10. A system operable to process an image, comprising:
one or more semiconductor devices, the one or more semiconductor devices including:
a memory operable to store in real time a series of images of a location captured by an imaging device over time, the captured series of images at least partially including a target that is subject to move within the captured series of images from one point in the time to another point in the time,
a detector operable to detect the target and a quantitative value of a movement component thereof by detecting differences between features of the captured series of images at a first point in the time and at a second point in the time,
an image generator operable to generate an object image representing a predetermined object so that the object image follows a movement of the detected target and includes an image representing a trace of the movement, the image generator being further operable to generate a combined image from the object image and an image from the captured series of images, and
an output operable to output in real time a signal representing the combined image at the location captured in the series of images.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/522,775 US20070013718A1 (en) | 2000-10-06 | 2006-09-18 | Image processor, image processing method, recording medium, computer program and semiconductor device |
Applications Claiming Priority (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2000-307574 | 2000-10-06 | ||
JP2000307574 | 2000-10-06 | ||
JP2001-295098 | 2001-09-26 | ||
JP2001295098A JP3725460B2 (en) | 2000-10-06 | 2001-09-26 | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device |
US09/971,962 US6771277B2 (en) | 2000-10-06 | 2001-10-05 | Image processor, image processing method, recording medium, computer program and semiconductor device |
US10/872,917 US7176945B2 (en) | 2000-10-06 | 2004-06-21 | Image processor, image processing method, recording medium, computer program and semiconductor device |
US11/522,775 US20070013718A1 (en) | 2000-10-06 | 2006-09-18 | Image processor, image processing method, recording medium, computer program and semiconductor device |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10/872,917 Division US7176945B2 (en) | 2000-10-06 | 2004-06-21 | Image processor, image processing method, recording medium, computer program and semiconductor device |
Publications (1)
Publication Number | Publication Date |
---|---|
US20070013718A1 true US20070013718A1 (en) | 2007-01-18 |
Family
ID=26601678
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/971,962 Expired - Lifetime US6771277B2 (en) | 2000-10-06 | 2001-10-05 | Image processor, image processing method, recording medium, computer program and semiconductor device |
US10/872,917 Expired - Lifetime US7176945B2 (en) | 2000-10-06 | 2004-06-21 | Image processor, image processing method, recording medium, computer program and semiconductor device |
US11/522,775 Abandoned US20070013718A1 (en) | 2000-10-06 | 2006-09-18 | Image processor, image processing method, recording medium, computer program and semiconductor device |
Family Applications Before (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US09/971,962 Expired - Lifetime US6771277B2 (en) | 2000-10-06 | 2001-10-05 | Image processor, image processing method, recording medium, computer program and semiconductor device |
US10/872,917 Expired - Lifetime US7176945B2 (en) | 2000-10-06 | 2004-06-21 | Image processor, image processing method, recording medium, computer program and semiconductor device |
Country Status (11)
Country | Link |
---|---|
US (3) | US6771277B2 (en) |
EP (1) | EP1324269B1 (en) |
JP (1) | JP3725460B2 (en) |
KR (1) | KR100845390B1 (en) |
CN (1) | CN1279761C (en) |
AU (1) | AU9418701A (en) |
BR (1) | BR0107310A (en) |
CA (1) | CA2392725A1 (en) |
MX (1) | MXPA02005288A (en) |
TW (1) | TWI231445B (en) |
WO (1) | WO2002031773A1 (en) |
Cited By (63)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070109600A1 (en) * | 2005-11-15 | 2007-05-17 | Lexmark International, Inc. | Printer optimization method and system |
US20090060275A1 (en) * | 2007-08-30 | 2009-03-05 | Casio Computer Co., Ltd. | Moving body image extraction apparatus and computer readable storage medium storing program |
US20090096714A1 (en) * | 2006-03-31 | 2009-04-16 | Brother Kogyo Kabushiki Kaisha | Image display device |
US20100081507A1 (en) * | 2008-10-01 | 2010-04-01 | Microsoft Corporation | Adaptation for Alternate Gaming Input Devices |
US20100194741A1 (en) * | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Depth map movement tracking via optical flow and velocity prediction |
US20100199221A1 (en) * | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Navigation of a virtual plane using depth |
US20100194872A1 (en) * | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Body scan |
US20100231512A1 (en) * | 2009-03-16 | 2010-09-16 | Microsoft Corporation | Adaptive cursor sizing |
US20100241998A1 (en) * | 2009-03-20 | 2010-09-23 | Microsoft Corporation | Virtual object manipulation |
US20100238182A1 (en) * | 2009-03-20 | 2010-09-23 | Microsoft Corporation | Chaining animations |
US20100278431A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Systems And Methods For Detecting A Tilt Angle From A Depth Image |
US20100278384A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Human body pose estimation |
US20100281432A1 (en) * | 2009-05-01 | 2010-11-04 | Kevin Geisner | Show body position |
US20100281437A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Managing virtual ports |
US20100281438A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Altering a view perspective within a display environment |
US20100277470A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Systems And Methods For Applying Model Tracking To Motion Capture |
US20100277489A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Determine intended motions |
US20100281436A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Binding users to a gesture based system and providing feedback to the users |
US20100295771A1 (en) * | 2009-05-20 | 2010-11-25 | Microsoft Corporation | Control of display objects |
US20100302138A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Methods and systems for defining or modifying a visual representation |
US20100302395A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Environment And/Or Target Segmentation |
US20100306715A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Gestures Beyond Skeletal |
US20100306685A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | User movement feedback via on-screen avatars |
US20100306713A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Gesture Tool |
US20100306261A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Localized Gesture Aggregation |
US20100303302A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Systems And Methods For Estimating An Occluded Body Part |
US20100303290A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Systems And Methods For Tracking A Model |
US20100302247A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Target digitization, extraction, and tracking |
US20100306716A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Extending standard gestures |
US20100302365A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Depth Image Noise Reduction |
US20100306710A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Living cursor control mechanics |
US20100303289A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Device for identifying and tracking multiple humans over time |
US20100306712A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Gesture Coach |
US20100304813A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Protocol And Format For Communicating An Image From A Camera To A Computing Environment |
US20100302257A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Systems and Methods For Applying Animations or Motions to a Character |
US20100311280A1 (en) * | 2009-06-03 | 2010-12-09 | Microsoft Corporation | Dual-barrel, connector jack and plug assemblies |
US20110007142A1 (en) * | 2009-07-09 | 2011-01-13 | Microsoft Corporation | Visual representation expression based on player expression |
US20110018901A1 (en) * | 2009-07-27 | 2011-01-27 | Disney Enterprises Inc. | System and method for forming a composite image in a portable computing device having a dual screen display |
US20110025689A1 (en) * | 2009-07-29 | 2011-02-03 | Microsoft Corporation | Auto-Generating A Visual Representation |
US20110055846A1 (en) * | 2009-08-31 | 2011-03-03 | Microsoft Corporation | Techniques for using human gestures to control gesture unaware programs |
US20110109617A1 (en) * | 2009-11-12 | 2011-05-12 | Microsoft Corporation | Visualizing Depth |
US20110221768A1 (en) * | 2010-03-10 | 2011-09-15 | Sony Corporation | Image processing apparatus, image processing method, and program |
WO2011115572A1 (en) * | 2010-03-19 | 2011-09-22 | Xyz Wave Pte Ltd | An apparatus for enabling control of content on a display device using at least one gesture, consequent methods enabled by the apparatus and applications of the apparatus |
US20120162476A1 (en) * | 2010-12-28 | 2012-06-28 | Casio Computer Co., Ltd. | Image capturing apparatus, image capturing control method and storage medium for capturing a subject to be recorded with intended timing |
US20130044131A1 (en) * | 2011-08-15 | 2013-02-21 | Moheb Milad | Software controller for audio mixer equipment |
US8509479B2 (en) | 2009-05-29 | 2013-08-13 | Microsoft Corporation | Virtual object |
US8620113B2 (en) | 2011-04-25 | 2013-12-31 | Microsoft Corporation | Laser diode modes |
US8635637B2 (en) | 2011-12-02 | 2014-01-21 | Microsoft Corporation | User interface presenting an animated avatar performing a media reaction |
US8638985B2 (en) | 2009-05-01 | 2014-01-28 | Microsoft Corporation | Human body pose estimation |
US8649554B2 (en) | 2009-05-01 | 2014-02-11 | Microsoft Corporation | Method to control perspective for a camera-controlled computer |
US8760395B2 (en) | 2011-05-31 | 2014-06-24 | Microsoft Corporation | Gesture recognition techniques |
US8898687B2 (en) | 2012-04-04 | 2014-11-25 | Microsoft Corporation | Controlling a media program based on a media reaction |
US8942917B2 (en) | 2011-02-14 | 2015-01-27 | Microsoft Corporation | Change invariant scene recognition by an agent |
US8942428B2 (en) | 2009-05-01 | 2015-01-27 | Microsoft Corporation | Isolate extraneous motions |
US8959541B2 (en) | 2012-05-04 | 2015-02-17 | Microsoft Technology Licensing, Llc | Determining a future portion of a currently presented media program |
US9100685B2 (en) | 2011-12-09 | 2015-08-04 | Microsoft Technology Licensing, Llc | Determining audience state or interest using passive sensor data |
US9159151B2 (en) | 2009-07-13 | 2015-10-13 | Microsoft Technology Licensing, Llc | Bringing a visual representation to life via learned input from the user |
US9400559B2 (en) | 2009-05-29 | 2016-07-26 | Microsoft Technology Licensing, Llc | Gesture shortcuts |
US9465980B2 (en) | 2009-01-30 | 2016-10-11 | Microsoft Technology Licensing, Llc | Pose tracking pipeline |
US9609236B2 (en) | 2013-09-16 | 2017-03-28 | Kyle L. Baltz | Camera and image processing method |
US9898675B2 (en) | 2009-05-01 | 2018-02-20 | Microsoft Technology Licensing, Llc | User movement tracking feedback to improve tracking |
US11215711B2 (en) | 2012-12-28 | 2022-01-04 | Microsoft Technology Licensing, Llc | Using photometric stereo for 3D environment modeling |
US11710309B2 (en) | 2013-02-22 | 2023-07-25 | Microsoft Technology Licensing, Llc | Camera/object pose from predicted coordinates |
Families Citing this family (113)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8956228B2 (en) * | 1999-12-03 | 2015-02-17 | Nike, Inc. | Game pod |
US6585622B1 (en) | 1999-12-03 | 2003-07-01 | Nike, Inc. | Interactive use an athletic performance monitoring and reward method, system, and computer program product |
JP4615252B2 (en) * | 2000-10-06 | 2011-01-19 | 株式会社ソニー・コンピュータエンタテインメント | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device |
US20060154220A1 (en) * | 2002-07-12 | 2006-07-13 | Mary Toniolo | Dance training device |
US8206219B2 (en) | 2002-10-30 | 2012-06-26 | Nike, Inc. | Interactive gaming apparel for interactive gaming |
ATE454195T1 (en) * | 2002-10-30 | 2010-01-15 | Nike International Ltd | GARMENTS WITH MOTION DETECTION MARKERS FOR VIDEO GAMES |
JP3854229B2 (en) * | 2003-01-07 | 2006-12-06 | 株式会社東芝 | Image processing device |
DE20300882U1 (en) * | 2003-01-21 | 2003-03-13 | Fraunhofer Ges Forschung | Device for the interactive control of a mouse pointer of a graphical user interface |
JP4323180B2 (en) * | 2003-02-13 | 2009-09-02 | 日本電信電話株式会社 | Interface method, apparatus, and program using self-image display |
GB2398690B (en) * | 2003-02-21 | 2006-05-10 | Sony Comp Entertainment Europe | Control of data processing |
GB2398691B (en) * | 2003-02-21 | 2006-05-31 | Sony Comp Entertainment Europe | Control of data processing |
DE602004010098T3 (en) | 2003-05-06 | 2014-09-04 | Apple Inc. | METHOD FOR MODIFYING A MESSAGE STORAGE AND TRANSMISSION NETWORK SYSTEM AND DATA ANSWERING SYSTEM |
WO2005008626A1 (en) * | 2003-07-11 | 2005-01-27 | University Of North Carolina At Chapel Hill | Methods and systems for controlling a computer using a video image and for combining the video image with a computer desktop |
US7453158B2 (en) * | 2003-07-31 | 2008-11-18 | Nvidia Corporation | Pad over active circuit system and method with meshed support structure |
US7495343B1 (en) * | 2003-07-31 | 2009-02-24 | Nvidia Corporation | Pad over active circuit system and method with frame support structure |
GB0321337D0 (en) | 2003-09-11 | 2003-10-15 | Massone Mobile Advertising Sys | Method and system for distributing advertisements |
US8345001B2 (en) | 2004-01-06 | 2013-01-01 | Sony Computer Entertainment Inc. | Information processing system, entertainment system, and information processing system input accepting method |
JP3847753B2 (en) | 2004-01-30 | 2006-11-22 | 株式会社ソニー・コンピュータエンタテインメント | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device |
JP3853796B2 (en) * | 2004-03-18 | 2006-12-06 | 株式会社ソニー・コンピュータエンタテインメント | Information processing apparatus and entertainment apparatus |
JP2005301479A (en) * | 2004-04-08 | 2005-10-27 | Akinori Yoshino | Instruction input device based on projected action of presenter |
GB2415639B (en) * | 2004-06-29 | 2008-09-17 | Sony Comp Entertainment Europe | Control of data processing |
JP4005061B2 (en) | 2004-06-30 | 2007-11-07 | 株式会社ソニー・コンピュータエンタテインメント | Information processing apparatus, program, and object control method in information processing apparatus |
JP4005060B2 (en) | 2004-06-30 | 2007-11-07 | 株式会社ソニー・コンピュータエンタテインメント | Information processing system, program, and game character movement control method |
US20060019746A1 (en) * | 2004-07-22 | 2006-01-26 | Atlantic City Coin & Slot Service Company, Inc | Gaming device utilizing player image |
JP4433948B2 (en) * | 2004-09-02 | 2010-03-17 | 株式会社セガ | Background image acquisition program, video game apparatus, background image acquisition method, and computer-readable recording medium recording the program |
JP4419768B2 (en) | 2004-09-21 | 2010-02-24 | 日本ビクター株式会社 | Control device for electronic equipment |
JP4717445B2 (en) * | 2005-01-06 | 2011-07-06 | 株式会社バンダイナムコゲームス | Image processing system, image processing device, game device, program, information storage medium, and image processing method |
CN100412908C (en) * | 2005-03-07 | 2008-08-20 | 腾讯科技(深圳)有限公司 | Merge display method of multiple animation file |
WO2006098255A1 (en) * | 2005-03-15 | 2006-09-21 | Shunsuke Nakamura | Image display method and device thereof |
JP4583981B2 (en) * | 2005-03-16 | 2010-11-17 | 株式会社リコー | Image processing device |
US7679689B2 (en) | 2005-05-16 | 2010-03-16 | Victor Company Of Japan, Limited | Electronic appliance |
JP4861699B2 (en) * | 2005-06-29 | 2012-01-25 | 株式会社コナミデジタルエンタテインメント | NETWORK GAME SYSTEM, NETWORK GAME SYSTEM CONTROL METHOD, GAME DEVICE, GAME DEVICE CONTROL METHOD, AND PROGRAM |
JP2007072564A (en) * | 2005-09-05 | 2007-03-22 | Sony Computer Entertainment Inc | Multimedia reproduction apparatus, menu operation reception method, and computer program |
JP2007087100A (en) * | 2005-09-22 | 2007-04-05 | Victor Co Of Japan Ltd | Electronic device system |
US7877387B2 (en) | 2005-09-30 | 2011-01-25 | Strands, Inc. | Systems and methods for promotional media item selection and promotional program unit generation |
US8549442B2 (en) * | 2005-12-12 | 2013-10-01 | Sony Computer Entertainment Inc. | Voice and video control of interactive electronically simulated environment |
JP4569555B2 (en) * | 2005-12-14 | 2010-10-27 | 日本ビクター株式会社 | Electronics |
JP4742976B2 (en) * | 2006-05-12 | 2011-08-10 | 富士ゼロックス株式会社 | Remote instruction system, remote instruction method and program |
GB2438449C (en) * | 2006-05-24 | 2018-05-30 | Sony Computer Entertainment Europe Ltd | Control of data processing |
KR100801087B1 (en) * | 2006-07-05 | 2008-02-11 | 삼성전자주식회사 | System and method for sensing moving body using structured light, mobile robot including the system |
JP4707034B2 (en) * | 2006-07-07 | 2011-06-22 | 株式会社ソニー・コンピュータエンタテインメント | Image processing method and input interface device |
JP4689548B2 (en) * | 2006-07-19 | 2011-05-25 | 株式会社ソニー・コンピュータエンタテインメント | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device |
JP4650381B2 (en) * | 2006-09-08 | 2011-03-16 | 日本ビクター株式会社 | Electronics |
US8144121B2 (en) * | 2006-10-11 | 2012-03-27 | Victor Company Of Japan, Limited | Method and apparatus for controlling electronic appliance |
JP2008146243A (en) * | 2006-12-07 | 2008-06-26 | Toshiba Corp | Information processor, information processing method and program |
JP4720738B2 (en) * | 2006-12-20 | 2011-07-13 | 日本ビクター株式会社 | Electronics |
GB2438475A (en) | 2007-03-07 | 2007-11-28 | Cvon Innovations Ltd | A method for ranking search results |
KR20080088802A (en) * | 2007-03-30 | 2008-10-06 | 삼성전자주식회사 | Method for providing gui including pointer moving at a variable velocity and video apparatus thereof |
GB2441399B (en) | 2007-04-03 | 2009-02-18 | Cvon Innovations Ltd | Network invitation arrangement and method |
US8671000B2 (en) | 2007-04-24 | 2014-03-11 | Apple Inc. | Method and arrangement for providing content to multimedia devices |
KR101328950B1 (en) | 2007-04-24 | 2013-11-13 | 엘지전자 주식회사 | Image display method and image communication terminal capable of implementing the same |
US8726194B2 (en) * | 2007-07-27 | 2014-05-13 | Qualcomm Incorporated | Item selection using enhanced control |
EP2597868B1 (en) * | 2007-09-24 | 2017-09-13 | Qualcomm Incorporated | Enhanced interface for voice and video communications |
WO2009099446A1 (en) * | 2008-02-08 | 2009-08-13 | Hewlett-Packard Development Company, L.P. | Printing method using multiple processors |
JP5116514B2 (en) * | 2008-03-11 | 2013-01-09 | キヤノン株式会社 | Imaging apparatus and display control method |
US8073203B2 (en) * | 2008-04-15 | 2011-12-06 | Cyberlink Corp. | Generating effects in a webcam application |
JP2009265709A (en) * | 2008-04-22 | 2009-11-12 | Hitachi Ltd | Input device |
US8514251B2 (en) * | 2008-06-23 | 2013-08-20 | Qualcomm Incorporated | Enhanced character input using recognized gestures |
KR20100039017A (en) * | 2008-10-07 | 2010-04-15 | 한국전자통신연구원 | Remote control apparatus using menu markup language |
US20100091085A1 (en) * | 2008-10-15 | 2010-04-15 | Sony Corporation And Sony Electronics Inc. | Augmenting tv menu icon with images in front of tv |
JP2010142592A (en) * | 2008-12-22 | 2010-07-01 | Nintendo Co Ltd | Game program and game device |
JP2010176510A (en) * | 2009-01-30 | 2010-08-12 | Sanyo Electric Co Ltd | Information display device |
US8732623B2 (en) * | 2009-02-17 | 2014-05-20 | Microsoft Corporation | Web cam based user interaction |
JP5635736B2 (en) | 2009-02-19 | 2014-12-03 | 株式会社ソニー・コンピュータエンタテインメント | Information processing apparatus and information processing method |
JP4767331B2 (en) * | 2009-03-10 | 2011-09-07 | 株式会社ソニー・コンピュータエンタテインメント | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device |
US8194101B1 (en) | 2009-04-01 | 2012-06-05 | Microsoft Corporation | Dynamic perspective video window |
US8314832B2 (en) | 2009-04-01 | 2012-11-20 | Microsoft Corporation | Systems and methods for generating stereoscopic images |
US20100295782A1 (en) | 2009-05-21 | 2010-11-25 | Yehuda Binder | System and method for control based on face ore hand gesture detection |
US8112719B2 (en) * | 2009-05-26 | 2012-02-07 | Topseed Technology Corp. | Method for controlling gesture-based remote control system |
EP2256590A1 (en) * | 2009-05-26 | 2010-12-01 | Topspeed Technology Corp. | Method for controlling gesture-based remote control system |
JP2010277197A (en) * | 2009-05-26 | 2010-12-09 | Sony Corp | Information processing device, information processing method, and program |
US20110010497A1 (en) * | 2009-07-09 | 2011-01-13 | Sandisk Il Ltd. | A storage device receiving commands and data regardless of a host |
GB2471905B (en) | 2009-07-17 | 2011-08-31 | Sony Comp Entertainment Europe | User interface and method of user interaction |
JP2010003303A (en) * | 2009-07-21 | 2010-01-07 | Victor Co Of Japan Ltd | Controller for electronic equipment |
JP5343773B2 (en) * | 2009-09-04 | 2013-11-13 | ソニー株式会社 | Information processing apparatus, display control method, and display control program |
US9633476B1 (en) * | 2009-10-29 | 2017-04-25 | Intuit Inc. | Method and apparatus for using augmented reality for business graphics |
US9146669B2 (en) | 2009-12-29 | 2015-09-29 | Bizmodeline Co., Ltd. | Password processing method and apparatus |
JP4794678B1 (en) * | 2010-05-24 | 2011-10-19 | 株式会社ソニー・コンピュータエンタテインメント | Video processing apparatus, video processing method, and video communication system |
US9367847B2 (en) | 2010-05-28 | 2016-06-14 | Apple Inc. | Presenting content packages based on audience retargeting |
EP2400379A1 (en) * | 2010-06-23 | 2011-12-28 | MFA Informatik AG | Graphical control of a computer by a user |
EP2421251A1 (en) * | 2010-08-17 | 2012-02-22 | LG Electronics | Display device and control method thereof |
CN102645970B (en) * | 2011-02-22 | 2015-10-28 | 鸿富锦精密工业(深圳)有限公司 | Motion-vector trigger control method and use its electronic installation |
EP2686254B1 (en) * | 2011-03-17 | 2018-08-15 | SSI Schäfer Automation GmbH | Controlling and monitoring a storage and order-picking system by means of movement and speech |
JP5585505B2 (en) * | 2011-03-17 | 2014-09-10 | セイコーエプソン株式会社 | Image supply apparatus, image display system, image supply apparatus control method, image display apparatus, and program |
US8928589B2 (en) * | 2011-04-20 | 2015-01-06 | Qualcomm Incorporated | Virtual keyboards and methods of providing the same |
US8873841B2 (en) * | 2011-04-21 | 2014-10-28 | Nokia Corporation | Methods and apparatuses for facilitating gesture recognition |
KR101514168B1 (en) * | 2011-04-28 | 2015-04-21 | 엔이씨 솔루션 이노베이터 가부시키가이샤 | Information processing device, information processing method, and recording medium |
WO2012147961A1 (en) | 2011-04-28 | 2012-11-01 | Necシステムテクノロジー株式会社 | Information processing device, information processing method, and recording medium |
US9727132B2 (en) * | 2011-07-01 | 2017-08-08 | Microsoft Technology Licensing, Llc | Multi-visor: managing applications in augmented reality environments |
JP2013080413A (en) * | 2011-10-05 | 2013-05-02 | Sony Corp | Input apparatus and input recognition method |
US9043766B2 (en) * | 2011-12-16 | 2015-05-26 | Facebook, Inc. | Language translation using preprocessor macros |
KR101410410B1 (en) * | 2011-12-21 | 2014-06-27 | 주식회사 케이티 | Bodily sensation type learning apparatus and method |
JP5567606B2 (en) * | 2012-01-31 | 2014-08-06 | 東芝テック株式会社 | Information processing apparatus and program |
GB2501925B (en) * | 2012-05-11 | 2015-04-29 | Sony Comp Entertainment Europe | Method and system for augmented reality |
KR101845046B1 (en) | 2012-07-13 | 2018-04-03 | 가부시키가이샤 주스 디자인 | Element selection device, element selection method, and program |
TWI488069B (en) * | 2012-10-08 | 2015-06-11 | Qisda Corp | Optical painting method |
TWI455044B (en) * | 2012-10-31 | 2014-10-01 | Hwa Hsia Inst Of Technology | Reacting ability training system and method applying image recognition |
JP5689103B2 (en) * | 2012-11-07 | 2015-03-25 | 任天堂株式会社 | GAME PROGRAM, GAME SYSTEM, GAME DEVICE, AND GAME CONTROL METHOD |
EP2940985A4 (en) * | 2012-12-26 | 2016-08-17 | Sony Corp | Image processing device, and image processing method and program |
JP6048189B2 (en) * | 2013-02-08 | 2016-12-21 | 株式会社リコー | Projection system, image generation program, information processing apparatus, and image generation method |
BR112015028380A2 (en) | 2013-06-14 | 2017-07-25 | Intercontinental Great Brands Llc | interactive video games |
CN103428551A (en) * | 2013-08-24 | 2013-12-04 | 渭南高新区金石为开咨询有限公司 | Gesture remote control system |
WO2015072604A1 (en) * | 2013-11-15 | 2015-05-21 | 엘지전자(주) | Transparent display device and control method therefor |
KR20150110032A (en) * | 2014-03-24 | 2015-10-02 | 삼성전자주식회사 | Electronic Apparatus and Method for Image Data Processing |
JP5979450B2 (en) * | 2014-07-28 | 2016-08-24 | 株式会社クラス・マイスター | Game device control program |
US9977565B2 (en) | 2015-02-09 | 2018-05-22 | Leapfrog Enterprises, Inc. | Interactive educational system with light emitting controller |
CN104680477A (en) * | 2015-03-04 | 2015-06-03 | 江西科技学院 | Image mirror algorithm |
CN106022887A (en) * | 2016-05-26 | 2016-10-12 | 江阴迈德机械有限公司 | Simulation dressing mirror |
CN106057171B (en) * | 2016-07-21 | 2019-05-24 | Oppo广东移动通信有限公司 | Control method and control device |
KR102051981B1 (en) * | 2016-09-07 | 2019-12-04 | 이철우 | Device, method and program for making multi-dimensional reactive video, and method and program for playing multi-dimensional reactive video |
CN111034377B (en) * | 2017-07-06 | 2021-09-03 | 惠普发展公司,有限责任合伙企业 | Mounting assembly for peripheral module |
JP7305401B2 (en) * | 2018-09-06 | 2023-07-10 | キヤノン株式会社 | Image processing device, method of operating image processing device, and program |
WO2020190996A1 (en) * | 2019-03-18 | 2020-09-24 | Google Llc | Frame overlay for disparities between frames of a game stream |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5261041A (en) * | 1990-12-28 | 1993-11-09 | Apple Computer, Inc. | Computer controlled animation system based on definitional animated objects and methods of manipulating same |
US5594469A (en) * | 1995-02-21 | 1997-01-14 | Mitsubishi Electric Information Technology Center America Inc. | Hand gesture machine control system |
US5617312A (en) * | 1993-11-19 | 1997-04-01 | Hitachi, Ltd. | Computer system that enters control information by means of video camera |
US5732227A (en) * | 1994-07-05 | 1998-03-24 | Hitachi, Ltd. | Interactive information processing system responsive to user manipulation of physical objects and displayed images |
US5936610A (en) * | 1993-07-27 | 1999-08-10 | Canon Kabushiki Kaisha | Control device for image input apparatus |
US6072494A (en) * | 1997-10-15 | 2000-06-06 | Electric Planet, Inc. | Method and apparatus for real-time gesture recognition |
US6088018A (en) * | 1998-06-11 | 2000-07-11 | Intel Corporation | Method of using video reflection in providing input data to a computer system |
US6160899A (en) * | 1997-07-22 | 2000-12-12 | Lg Electronics Inc. | Method of application menu selection and activation using image cognition |
US6346929B1 (en) * | 1994-04-22 | 2002-02-12 | Canon Kabushiki Kaisha | Display apparatus which detects an observer body part motion in correspondence to a displayed element used to input operation instructions to start a process |
US6392675B1 (en) * | 1999-02-24 | 2002-05-21 | International Business Machines Corporation | Variable speed cursor movement |
US6466197B1 (en) * | 1998-06-27 | 2002-10-15 | Samsung Electronics Co., Ltd. | Method and apparatus for driving pointing device of computer system |
Family Cites Families (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH01315884A (en) * | 1988-06-16 | 1989-12-20 | Sony Corp | Pattern tracking method |
JPH06102993A (en) * | 1992-09-22 | 1994-04-15 | Nippon Telegr & Teleph Corp <Ntt> | Instruction input device |
JPH06153017A (en) * | 1992-11-02 | 1994-05-31 | Sanyo Electric Co Ltd | Remote controller for equipment |
JPH07155467A (en) * | 1993-12-02 | 1995-06-20 | Sega Enterp Ltd | Video game device having image input of game player |
JP3766981B2 (en) * | 1994-04-05 | 2006-04-19 | カシオ計算機株式会社 | Image control apparatus and image control method |
JPH09128141A (en) * | 1995-11-07 | 1997-05-16 | Sony Corp | Controller and control method |
JPH09265538A (en) * | 1996-03-29 | 1997-10-07 | Matsushita Electric Works Ltd | Automatic tracking device |
JP3209178B2 (en) * | 1998-03-30 | 2001-09-17 | 日本電気株式会社 | Mouse and information processing device using mouse |
-
2001
- 2001-09-26 JP JP2001295098A patent/JP3725460B2/en not_active Expired - Lifetime
- 2001-10-04 AU AU94187/01A patent/AU9418701A/en not_active Abandoned
- 2001-10-04 MX MXPA02005288A patent/MXPA02005288A/en unknown
- 2001-10-04 BR BR0107310-9A patent/BR0107310A/en not_active Application Discontinuation
- 2001-10-04 WO PCT/JP2001/008762 patent/WO2002031773A1/en active Application Filing
- 2001-10-04 KR KR1020027007197A patent/KR100845390B1/en active IP Right Grant
- 2001-10-04 CA CA002392725A patent/CA2392725A1/en not_active Abandoned
- 2001-10-04 EP EP01974693.2A patent/EP1324269B1/en not_active Expired - Lifetime
- 2001-10-04 CN CNB018030432A patent/CN1279761C/en not_active Expired - Lifetime
- 2001-10-05 TW TW090124674A patent/TWI231445B/en not_active IP Right Cessation
- 2001-10-05 US US09/971,962 patent/US6771277B2/en not_active Expired - Lifetime
-
2004
- 2004-06-21 US US10/872,917 patent/US7176945B2/en not_active Expired - Lifetime
-
2006
- 2006-09-18 US US11/522,775 patent/US20070013718A1/en not_active Abandoned
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5261041A (en) * | 1990-12-28 | 1993-11-09 | Apple Computer, Inc. | Computer controlled animation system based on definitional animated objects and methods of manipulating same |
US5936610A (en) * | 1993-07-27 | 1999-08-10 | Canon Kabushiki Kaisha | Control device for image input apparatus |
US5617312A (en) * | 1993-11-19 | 1997-04-01 | Hitachi, Ltd. | Computer system that enters control information by means of video camera |
US6346929B1 (en) * | 1994-04-22 | 2002-02-12 | Canon Kabushiki Kaisha | Display apparatus which detects an observer body part motion in correspondence to a displayed element used to input operation instructions to start a process |
US5732227A (en) * | 1994-07-05 | 1998-03-24 | Hitachi, Ltd. | Interactive information processing system responsive to user manipulation of physical objects and displayed images |
US5594469A (en) * | 1995-02-21 | 1997-01-14 | Mitsubishi Electric Information Technology Center America Inc. | Hand gesture machine control system |
US6160899A (en) * | 1997-07-22 | 2000-12-12 | Lg Electronics Inc. | Method of application menu selection and activation using image cognition |
US6072494A (en) * | 1997-10-15 | 2000-06-06 | Electric Planet, Inc. | Method and apparatus for real-time gesture recognition |
US6088018A (en) * | 1998-06-11 | 2000-07-11 | Intel Corporation | Method of using video reflection in providing input data to a computer system |
US6466197B1 (en) * | 1998-06-27 | 2002-10-15 | Samsung Electronics Co., Ltd. | Method and apparatus for driving pointing device of computer system |
US6392675B1 (en) * | 1999-02-24 | 2002-05-21 | International Business Machines Corporation | Variable speed cursor movement |
Cited By (134)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070109600A1 (en) * | 2005-11-15 | 2007-05-17 | Lexmark International, Inc. | Printer optimization method and system |
US20090096714A1 (en) * | 2006-03-31 | 2009-04-16 | Brother Kogyo Kabushiki Kaisha | Image display device |
US20090060275A1 (en) * | 2007-08-30 | 2009-03-05 | Casio Computer Co., Ltd. | Moving body image extraction apparatus and computer readable storage medium storing program |
US8116521B2 (en) * | 2007-08-30 | 2012-02-14 | Casio Computer Co., Ltd. | Moving body image extraction apparatus and computer readable storage medium storing program |
US8133119B2 (en) | 2008-10-01 | 2012-03-13 | Microsoft Corporation | Adaptation for alternate gaming input devices |
US20100081507A1 (en) * | 2008-10-01 | 2010-04-01 | Microsoft Corporation | Adaptation for Alternate Gaming Input Devices |
US9007417B2 (en) | 2009-01-30 | 2015-04-14 | Microsoft Technology Licensing, Llc | Body scan |
US20110032336A1 (en) * | 2009-01-30 | 2011-02-10 | Microsoft Corporation | Body scan |
US8467574B2 (en) | 2009-01-30 | 2013-06-18 | Microsoft Corporation | Body scan |
US8294767B2 (en) | 2009-01-30 | 2012-10-23 | Microsoft Corporation | Body scan |
US9607213B2 (en) | 2009-01-30 | 2017-03-28 | Microsoft Technology Licensing, Llc | Body scan |
US8866821B2 (en) | 2009-01-30 | 2014-10-21 | Microsoft Corporation | Depth map movement tracking via optical flow and velocity prediction |
US20100194872A1 (en) * | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Body scan |
US20100199221A1 (en) * | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Navigation of a virtual plane using depth |
US8897493B2 (en) | 2009-01-30 | 2014-11-25 | Microsoft Corporation | Body scan |
US9652030B2 (en) | 2009-01-30 | 2017-05-16 | Microsoft Technology Licensing, Llc | Navigation of a virtual plane using a zone of restriction for canceling noise |
US9465980B2 (en) | 2009-01-30 | 2016-10-11 | Microsoft Technology Licensing, Llc | Pose tracking pipeline |
US9153035B2 (en) | 2009-01-30 | 2015-10-06 | Microsoft Technology Licensing, Llc | Depth map movement tracking via optical flow and velocity prediction |
US20100194741A1 (en) * | 2009-01-30 | 2010-08-05 | Microsoft Corporation | Depth map movement tracking via optical flow and velocity prediction |
US10599212B2 (en) | 2009-01-30 | 2020-03-24 | Microsoft Technology Licensing, Llc | Navigation of a virtual plane using a zone of restriction for canceling noise |
US20100231512A1 (en) * | 2009-03-16 | 2010-09-16 | Microsoft Corporation | Adaptive cursor sizing |
US8773355B2 (en) | 2009-03-16 | 2014-07-08 | Microsoft Corporation | Adaptive cursor sizing |
US9478057B2 (en) | 2009-03-20 | 2016-10-25 | Microsoft Technology Licensing, Llc | Chaining animations |
US9256282B2 (en) | 2009-03-20 | 2016-02-09 | Microsoft Technology Licensing, Llc | Virtual object manipulation |
US20100241998A1 (en) * | 2009-03-20 | 2010-09-23 | Microsoft Corporation | Virtual object manipulation |
US20100238182A1 (en) * | 2009-03-20 | 2010-09-23 | Microsoft Corporation | Chaining animations |
US8988437B2 (en) | 2009-03-20 | 2015-03-24 | Microsoft Technology Licensing, Llc | Chaining animations |
US9824480B2 (en) | 2009-03-20 | 2017-11-21 | Microsoft Technology Licensing, Llc | Chaining animations |
US20100277470A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Systems And Methods For Applying Model Tracking To Motion Capture |
US8942428B2 (en) | 2009-05-01 | 2015-01-27 | Microsoft Corporation | Isolate extraneous motions |
US8451278B2 (en) | 2009-05-01 | 2013-05-28 | Microsoft Corporation | Determine intended motions |
US10210382B2 (en) | 2009-05-01 | 2019-02-19 | Microsoft Technology Licensing, Llc | Human body pose estimation |
US9377857B2 (en) | 2009-05-01 | 2016-06-28 | Microsoft Technology Licensing, Llc | Show body position |
US9898675B2 (en) | 2009-05-01 | 2018-02-20 | Microsoft Technology Licensing, Llc | User movement tracking feedback to improve tracking |
US9298263B2 (en) | 2009-05-01 | 2016-03-29 | Microsoft Technology Licensing, Llc | Show body position |
US9262673B2 (en) | 2009-05-01 | 2016-02-16 | Microsoft Technology Licensing, Llc | Human body pose estimation |
US9519970B2 (en) | 2009-05-01 | 2016-12-13 | Microsoft Technology Licensing, Llc | Systems and methods for detecting a tilt angle from a depth image |
US9191570B2 (en) | 2009-05-01 | 2015-11-17 | Microsoft Technology Licensing, Llc | Systems and methods for detecting a tilt angle from a depth image |
US20100281436A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Binding users to a gesture based system and providing feedback to the users |
US20100277489A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Determine intended motions |
US9015638B2 (en) | 2009-05-01 | 2015-04-21 | Microsoft Technology Licensing, Llc | Binding users to a gesture based system and providing feedback to the users |
US9519828B2 (en) | 2009-05-01 | 2016-12-13 | Microsoft Technology Licensing, Llc | Isolate extraneous motions |
US9524024B2 (en) | 2009-05-01 | 2016-12-20 | Microsoft Technology Licensing, Llc | Method to control perspective for a camera-controlled computer |
US9498718B2 (en) | 2009-05-01 | 2016-11-22 | Microsoft Technology Licensing, Llc | Altering a view perspective within a display environment |
US20100281438A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Altering a view perspective within a display environment |
US20100281437A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Managing virtual ports |
US20100281432A1 (en) * | 2009-05-01 | 2010-11-04 | Kevin Geisner | Show body position |
US20100278384A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Human body pose estimation |
US20100278431A1 (en) * | 2009-05-01 | 2010-11-04 | Microsoft Corporation | Systems And Methods For Detecting A Tilt Angle From A Depth Image |
US8181123B2 (en) | 2009-05-01 | 2012-05-15 | Microsoft Corporation | Managing virtual port associations to users in a gesture-based computing environment |
US8762894B2 (en) | 2009-05-01 | 2014-06-24 | Microsoft Corporation | Managing virtual ports |
US8253746B2 (en) | 2009-05-01 | 2012-08-28 | Microsoft Corporation | Determine intended motions |
US8290249B2 (en) | 2009-05-01 | 2012-10-16 | Microsoft Corporation | Systems and methods for detecting a tilt angle from a depth image |
US9910509B2 (en) | 2009-05-01 | 2018-03-06 | Microsoft Technology Licensing, Llc | Method to control perspective for a camera-controlled computer |
US8649554B2 (en) | 2009-05-01 | 2014-02-11 | Microsoft Corporation | Method to control perspective for a camera-controlled computer |
US8340432B2 (en) | 2009-05-01 | 2012-12-25 | Microsoft Corporation | Systems and methods for detecting a tilt angle from a depth image |
US8638985B2 (en) | 2009-05-01 | 2014-01-28 | Microsoft Corporation | Human body pose estimation |
US8503720B2 (en) | 2009-05-01 | 2013-08-06 | Microsoft Corporation | Human body pose estimation |
US8503766B2 (en) | 2009-05-01 | 2013-08-06 | Microsoft Corporation | Systems and methods for detecting a tilt angle from a depth image |
US20100295771A1 (en) * | 2009-05-20 | 2010-11-25 | Microsoft Corporation | Control of display objects |
US20100304813A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Protocol And Format For Communicating An Image From A Camera To A Computing Environment |
US20100303302A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Systems And Methods For Estimating An Occluded Body Part |
US10691216B2 (en) | 2009-05-29 | 2020-06-23 | Microsoft Technology Licensing, Llc | Combining gestures beyond skeletal |
US20100302138A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Methods and systems for defining or modifying a visual representation |
US8379101B2 (en) | 2009-05-29 | 2013-02-19 | Microsoft Corporation | Environment and/or target segmentation |
US8509479B2 (en) | 2009-05-29 | 2013-08-13 | Microsoft Corporation | Virtual object |
US8542252B2 (en) * | 2009-05-29 | 2013-09-24 | Microsoft Corporation | Target digitization, extraction, and tracking |
US20100302395A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Environment And/Or Target Segmentation |
US8625837B2 (en) | 2009-05-29 | 2014-01-07 | Microsoft Corporation | Protocol and format for communicating an image from a camera to a computing environment |
US9943755B2 (en) | 2009-05-29 | 2018-04-17 | Microsoft Technology Licensing, Llc | Device for identifying and tracking multiple humans over time |
US8351652B2 (en) | 2009-05-29 | 2013-01-08 | Microsoft Corporation | Systems and methods for tracking a model |
US8320619B2 (en) | 2009-05-29 | 2012-11-27 | Microsoft Corporation | Systems and methods for tracking a model |
US8660310B2 (en) | 2009-05-29 | 2014-02-25 | Microsoft Corporation | Systems and methods for tracking a model |
US8744121B2 (en) | 2009-05-29 | 2014-06-03 | Microsoft Corporation | Device for identifying and tracking multiple humans over time |
US20100306715A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Gestures Beyond Skeletal |
US20100306685A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | User movement feedback via on-screen avatars |
US8176442B2 (en) | 2009-05-29 | 2012-05-08 | Microsoft Corporation | Living cursor control mechanics |
US8803889B2 (en) | 2009-05-29 | 2014-08-12 | Microsoft Corporation | Systems and methods for applying animations or motions to a character |
US9861886B2 (en) | 2009-05-29 | 2018-01-09 | Microsoft Technology Licensing, Llc | Systems and methods for applying animations or motions to a character |
US8856691B2 (en) | 2009-05-29 | 2014-10-07 | Microsoft Corporation | Gesture tool |
US8145594B2 (en) | 2009-05-29 | 2012-03-27 | Microsoft Corporation | Localized gesture aggregation |
US20100306713A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Gesture Tool |
US9656162B2 (en) | 2009-05-29 | 2017-05-23 | Microsoft Technology Licensing, Llc | Device for identifying and tracking multiple humans over time |
US8896721B2 (en) | 2009-05-29 | 2014-11-25 | Microsoft Corporation | Environment and/or target segmentation |
US20100306261A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Localized Gesture Aggregation |
US8418085B2 (en) | 2009-05-29 | 2013-04-09 | Microsoft Corporation | Gesture coach |
US20100303290A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Systems And Methods For Tracking A Model |
US20100302247A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Target digitization, extraction, and tracking |
US20100306716A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Extending standard gestures |
US20100302365A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Depth Image Noise Reduction |
US20100306710A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Living cursor control mechanics |
US20100303289A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Device for identifying and tracking multiple humans over time |
US9400559B2 (en) | 2009-05-29 | 2016-07-26 | Microsoft Technology Licensing, Llc | Gesture shortcuts |
US9383823B2 (en) | 2009-05-29 | 2016-07-05 | Microsoft Technology Licensing, Llc | Combining gestures beyond skeletal |
US20100306712A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Gesture Coach |
US20100302257A1 (en) * | 2009-05-29 | 2010-12-02 | Microsoft Corporation | Systems and Methods For Applying Animations or Motions to a Character |
US9215478B2 (en) | 2009-05-29 | 2015-12-15 | Microsoft Technology Licensing, Llc | Protocol and format for communicating an image from a camera to a computing environment |
US9182814B2 (en) | 2009-05-29 | 2015-11-10 | Microsoft Technology Licensing, Llc | Systems and methods for estimating a non-visible or occluded body part |
US20100311280A1 (en) * | 2009-06-03 | 2010-12-09 | Microsoft Corporation | Dual-barrel, connector jack and plug assemblies |
US7914344B2 (en) | 2009-06-03 | 2011-03-29 | Microsoft Corporation | Dual-barrel, connector jack and plug assemblies |
US8390680B2 (en) | 2009-07-09 | 2013-03-05 | Microsoft Corporation | Visual representation expression based on player expression |
US20110007142A1 (en) * | 2009-07-09 | 2011-01-13 | Microsoft Corporation | Visual representation expression based on player expression |
US9519989B2 (en) | 2009-07-09 | 2016-12-13 | Microsoft Technology Licensing, Llc | Visual representation expression based on player expression |
US9159151B2 (en) | 2009-07-13 | 2015-10-13 | Microsoft Technology Licensing, Llc | Bringing a visual representation to life via learned input from the user |
US8847984B2 (en) * | 2009-07-27 | 2014-09-30 | Disney Enterprises, Inc. | System and method for forming a composite image in a portable computing device having a dual screen display |
US20110018901A1 (en) * | 2009-07-27 | 2011-01-27 | Disney Enterprises Inc. | System and method for forming a composite image in a portable computing device having a dual screen display |
US20110025689A1 (en) * | 2009-07-29 | 2011-02-03 | Microsoft Corporation | Auto-Generating A Visual Representation |
US20110055846A1 (en) * | 2009-08-31 | 2011-03-03 | Microsoft Corporation | Techniques for using human gestures to control gesture unaware programs |
US9141193B2 (en) | 2009-08-31 | 2015-09-22 | Microsoft Technology Licensing, Llc | Techniques for using human gestures to control gesture unaware programs |
US20110109617A1 (en) * | 2009-11-12 | 2011-05-12 | Microsoft Corporation | Visualizing Depth |
US20110221768A1 (en) * | 2010-03-10 | 2011-09-15 | Sony Corporation | Image processing apparatus, image processing method, and program |
US9454837B2 (en) * | 2010-03-10 | 2016-09-27 | Sony Corporation | Image processing apparatus, method, and computer-readable storage medium calculating size and position of one of an entire person and a part of a person in an image |
US9075442B2 (en) * | 2010-03-10 | 2015-07-07 | Sony Corporation | Image processing apparatus, method, and computer-readable storage medium calculation size and position of one of an entire person and a part of a person in an image |
WO2011115572A1 (en) * | 2010-03-19 | 2011-09-22 | Xyz Wave Pte Ltd | An apparatus for enabling control of content on a display device using at least one gesture, consequent methods enabled by the apparatus and applications of the apparatus |
US9338362B2 (en) | 2010-12-28 | 2016-05-10 | Casio Computer Co., Ltd. | Image capturing apparatus, image capturing control method and storage medium for capturing a subject to be recorded with intended timing |
US9172878B2 (en) * | 2010-12-28 | 2015-10-27 | Casio Computer Co., Ltd. | Image capturing apparatus, image capturing control method and storage medium for capturing a subject to be recorded with intended timing |
US20120162476A1 (en) * | 2010-12-28 | 2012-06-28 | Casio Computer Co., Ltd. | Image capturing apparatus, image capturing control method and storage medium for capturing a subject to be recorded with intended timing |
US8942917B2 (en) | 2011-02-14 | 2015-01-27 | Microsoft Corporation | Change invariant scene recognition by an agent |
US8620113B2 (en) | 2011-04-25 | 2013-12-31 | Microsoft Corporation | Laser diode modes |
US10331222B2 (en) | 2011-05-31 | 2019-06-25 | Microsoft Technology Licensing, Llc | Gesture recognition techniques |
US9372544B2 (en) | 2011-05-31 | 2016-06-21 | Microsoft Technology Licensing, Llc | Gesture recognition techniques |
US8760395B2 (en) | 2011-05-31 | 2014-06-24 | Microsoft Corporation | Gesture recognition techniques |
US20130044131A1 (en) * | 2011-08-15 | 2013-02-21 | Moheb Milad | Software controller for audio mixer equipment |
US8635637B2 (en) | 2011-12-02 | 2014-01-21 | Microsoft Corporation | User interface presenting an animated avatar performing a media reaction |
US9154837B2 (en) | 2011-12-02 | 2015-10-06 | Microsoft Technology Licensing, Llc | User interface presenting an animated avatar performing a media reaction |
US9628844B2 (en) | 2011-12-09 | 2017-04-18 | Microsoft Technology Licensing, Llc | Determining audience state or interest using passive sensor data |
US9100685B2 (en) | 2011-12-09 | 2015-08-04 | Microsoft Technology Licensing, Llc | Determining audience state or interest using passive sensor data |
US10798438B2 (en) | 2011-12-09 | 2020-10-06 | Microsoft Technology Licensing, Llc | Determining audience state or interest using passive sensor data |
US8898687B2 (en) | 2012-04-04 | 2014-11-25 | Microsoft Corporation | Controlling a media program based on a media reaction |
US9788032B2 (en) | 2012-05-04 | 2017-10-10 | Microsoft Technology Licensing, Llc | Determining a future portion of a currently presented media program |
US8959541B2 (en) | 2012-05-04 | 2015-02-17 | Microsoft Technology Licensing, Llc | Determining a future portion of a currently presented media program |
US11215711B2 (en) | 2012-12-28 | 2022-01-04 | Microsoft Technology Licensing, Llc | Using photometric stereo for 3D environment modeling |
US11710309B2 (en) | 2013-02-22 | 2023-07-25 | Microsoft Technology Licensing, Llc | Camera/object pose from predicted coordinates |
US9609236B2 (en) | 2013-09-16 | 2017-03-28 | Kyle L. Baltz | Camera and image processing method |
Also Published As
Publication number | Publication date |
---|---|
CN1279761C (en) | 2006-10-11 |
EP1324269A1 (en) | 2003-07-02 |
KR20020059844A (en) | 2002-07-13 |
KR100845390B1 (en) | 2008-07-09 |
US7176945B2 (en) | 2007-02-13 |
EP1324269B1 (en) | 2017-01-25 |
TWI231445B (en) | 2005-04-21 |
US6771277B2 (en) | 2004-08-03 |
AU9418701A (en) | 2002-04-22 |
WO2002031773A1 (en) | 2002-04-18 |
BR0107310A (en) | 2002-08-27 |
US20040233224A1 (en) | 2004-11-25 |
CA2392725A1 (en) | 2002-04-18 |
EP1324269A4 (en) | 2006-02-08 |
CN1393003A (en) | 2003-01-22 |
JP2002196855A (en) | 2002-07-12 |
MXPA02005288A (en) | 2002-12-11 |
US20020097247A1 (en) | 2002-07-25 |
JP3725460B2 (en) | 2005-12-14 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7176945B2 (en) | Image processor, image processing method, recording medium, computer program and semiconductor device | |
JP3847753B2 (en) | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device | |
CN102780893B (en) | Image processing apparatus and control method thereof | |
JP4473754B2 (en) | Virtual fitting device | |
US9013483B2 (en) | Image processing apparatus and image processing method | |
JP7127659B2 (en) | Information processing device, virtual/reality synthesis system, method for generating learned model, method for executing information processing device, program | |
CN104243951A (en) | Image processing device, image processing system and image processing method | |
JP4689548B2 (en) | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device | |
KR20020028578A (en) | Method of displaying and evaluating motion data using in motion game apparatus | |
JP4824409B2 (en) | Information processing system, entertainment system, and information receiving method for information processing system | |
JP3554477B2 (en) | Image editing device | |
JP4615252B2 (en) | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device | |
CN113544701A (en) | Method and device for detecting associated object | |
KR200239844Y1 (en) | Simulation game system using machine vision and pattern-recognition | |
JP7459151B2 (en) | Information processing device, information processing system, information processing method, and program | |
JP7285045B2 (en) | Image synthesizing device, image synthesizing method and program | |
JP2005274887A (en) | Image display system, image display program and image display method | |
JP4767331B2 (en) | Image processing apparatus, image processing method, recording medium, computer program, semiconductor device | |
JP3023903B2 (en) | Image generation method and image generation device | |
JPH03291770A (en) | Picture contour detecting method | |
MXPA00006341A (en) | Image output device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: SONY COMPUTER ENTERTAINMENT INC., JAPAN Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:OHBA, AKIO;REEL/FRAME:018412/0925 Effective date: 20011203 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |