USRE44348E1 - Detail-in-context terrain displacement algorithm with optimizations - Google Patents
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Definitions
- the invention relates to the field of computer graphics processing, and more specifically, to a method and system for generating detail-in-context lens presentations for terrain or elevation data.
- Display screens are the primary visual display interface for computers.
- One problem with display screens is that they are limited in size, thus presenting a challenge to user interface design, particularly when large amounts of visual information are to be displayed. This problem is often referred to as the “screen real estate problem”.
- Known tools for addressing this problem include panning and zooming. While these tools are suitable for a large number of display applications, they become less effective when sections of the visual information are spatially related, for example in layered maps and three-dimensional representations. In this type of visual information display, panning and zooming are not as effective as much of the context of the visual information may be hidden in the panned or zoomed display.
- Detail-in-context is the magnification of a particular region-of-interest (the “focal region” or “detail”) in a presentation while preserving visibility of the surrounding information (the “context”).
- This technique has applicability to the display of large surface area media (e.g., digital maps) on display screens of variable size including those of graphics workstations, laptop computers, personal digital assistants (“PDAs”), and cellular telephones.
- a detail-in-context presentation may be considered as a distorted view (or distortion) of a region-of-interest in an original image or representation where the distortion is the result of the application of a “lens” like distortion function to the original image.
- the lens distortion is typically characterized by magnification of a region-of-interest (the “focal region”) in an image where detail is desired in combination with compression of a region of the remaining information surrounding the region-of-interest (the “shoulder region”).
- the area of the image affected by the lens includes the focal region and the shoulder region. These regions define the perimeter of the lens.
- the shoulder region and the area surrounding the lens provide “context” for the “detail” in the focal region of the lens.
- a representation is a formal system, or mapping, for specifying raw information or data that is stored in a computer or data processing system.
- a digital map of a city is a representation of raw data including street names and the relative geographic location of streets and utilities. Such a representation may be displayed on a display screen or printed on paper.
- a presentation is a spatial organization of a given representation that is appropriate for the task at hand.
- a presentation of a representation organizes such things as the point of view and the relative emphasis of different parts or regions of the representation. For example, a digital map of a city may be presented with a region magnified to reveal street names.
- DEM digital elevations model
- a DEM is a representation of cartographic information in a raster, vector, or other data format.
- a DEM consists of a sampled array of elevations for a number of ground positions at regularly spaced intervals. The intervals may be, for example, 7.5-minute, 15-minute, 2-arc-second (also known as 30-minute), and 1-degree units.
- the 7.5- and 15-minute DEMs may be categorized as large-scale
- 2-arc-second DEMs may be categorized as intermediate-scale
- 1-degree DEMs may be categorized as small-scale.
- the distortion of DEM data using existing detail-in-context methods will result in a detail-in-context presentation in which the viewer appears to be “underneath” the data.
- a method for generating a presentation of a region-of-interest in a terrain data representation for display on a display screen comprising: translating each point of the representation within a lens bounds to a rotated plane being normal to a vector defined by a position for the region-of-interest with respect to a base plane for the representation and an apex above the base plane, the lens bounds defining a shoulder region at least partially surrounding a focal bounds defining a focal region in which the position is located, each point having a respective height above the base plane; displacing each translated point from the rotated plane by a function of the respective height and a magnification for the focal region, the magnification varying across the shoulder region in accordance with a drop-off function; rotating each displaced point toward a viewpoint for the region-of-interest to maintain visibility of each displaced point and each point of the data representation beyond the lens bounds when viewed from the viewpoint; and, adjusting each rotated point corresponding to the shoulder region
- the method may further include projecting each adjusted point within the shoulder region, each rotated point within the focal region, and each point of the representation beyond the lens bounds onto a plane in a direction aligned with the viewpoint to produce the presentation.
- the method may further include displaying the presentation on the display screen.
- the step of translating each point may further include determining a maximum translation for a point on the lens bounds and determining a translation for each point within the lens bounds by scaling the maximum translation in accordance with a distance of each point from the lens bounds.
- the function may be a product of the magnification and a difference between a magnitude of a vector defined by an origin of the representation with respect to the base plane and the viewpoint and the respective height.
- the step of rotating each displaced point may further include determining an axis of rotation for the rotating from a cross product of a vector defined by an origin of the representation with respect to the base plane and the viewpoint and a vector defined by the origin and the apex.
- the step of adjusting each rotated point corresponding to the shoulder region may further include adding to each rotated point a weighted average of first and second difference vectors scaled by the drop-off function, the first and second difference vectors corresponding to a difference between first and seconds points on the lens bound and corresponding first and second displaced points, respectively, the first and second points being on a line drawn through the rotated point.
- the method may further include approximating the representation with a mesh. And, the method may further include approximating the respective height using height information from surrounding points.
- apparatus such as a data processing system, a method for adapting this system, as well as articles of manufacture such as a computer readable medium having program instructions recorded thereon for practising the method of the invention.
- FIG. 1 is a graphical representation illustrating the geometry for constructing a three-dimensional perspective viewing frustum, relative to an x, y, z coordinate system, in accordance with elastic presentation space graphics technology and an embodiment of the invention
- FIG. 2 is a graphical representation illustrating the geometry of a presentation in accordance with elastic presentation space graphics technology and an embodiment of the invention
- FIG. 3 is a block diagram illustrating a data processing system adapted for implementing an embodiment of the invention
- FIG. 4 is a graphical representation illustrating the geometry of a terrain dataspace and an apex-aligned vector in accordance with an embodiment of the invention
- FIG. 5 is a graphical representation illustrating the geometry of a portion of the base plane in which the terrain dataset is defined and which is rotated such that it remains perpendicular to the apex-aligned vector in accordance with an embodiment of the invention
- FIG. 6 is a graphical representation illustrating the geometry for finding the maximum translation value for a point using similar triangles in accordance with an embodiment of the invention
- FIG. 7 is a graphical representation illustrating the geometry of a projection for finding the scaling factor that is used in the calculation of the magnitude of translation for a point in accordance with an embodiment of the invention
- FIG. 8 is a graphical representation illustrating the geometry of the result of the pseudo-rotation and displacement of each point that falls within the lens bounds in accordance with an embodiment of the invention.
- FIG. 9 is a graphical representation illustrating the geometry of the rotation towards the view reference point of each point that falls within the lens bounds in accordance with an embodiment of the invention.
- FIG. 10 is a graphical representation illustrating the geometry of a discontinuity occurring between the shoulder region and the context data after the application of the displacement and rotation transformations in accordance with an embodiment of the invention
- FIG. 11 is a graphical representation illustrating the geometry of the projection of the two dimensional version of a point onto the axis of rotation and the resulting edge points in accordance with an embodiment of the invention
- FIG. 12 is a graphical representation illustrating the geometry of the final lens resulting from the displacement of terrain data that fell within the lens bounds in accordance with an embodiment of the invention.
- FIG. 13 is a flow chart illustrating operations of modules within the memory of a data processing system for generating a presentation of a region-of-interest in a terrain data representation for display on a display screen, in accordance with an embodiment of the application.
- data processing system is used herein to refer to any machine for processing data, including the computer systems and network arrangements described herein.
- the present invention may be implemented in any computer programming language provided that the operating system of the data processing system provides the facilities that may support the requirements of the present invention. Any limitations presented would be a result of a particular type of operating system or computer programming language and would not be a limitation of the present invention.
- a detail-in-context presentation may be considered as a distorted view (or distortion) of a portion of the original representation or image where the distortion is the result of the application of a “lens” like distortion function to the original representation.
- detail-in-context data presentations are characterized by magnification of areas of an image where detail is desired, in combination with compression of a restricted range of areas of the remaining information, the result typically giving the appearance of a lens having been applied to the display surface.
- points in a representation are displaced in three dimensions and a perspective projection is used to display the points on a two-dimensional presentation display.
- the resulting presentation appears to be three-dimensional.
- the lens transformation appears to have stretched the continuous surface in a third dimension.
- EPS graphics technology a two-dimensional visual representation is placed onto a surface; this surface is placed in three-dimensional space; the surface, containing the representation, is viewed through perspective projection; and the surface is manipulated to effect the reorganization of image details.
- the presentation transformation is separated into two steps: surface manipulation or distortion and perspective projection.
- FIG. 1 is a graphical representation illustrating the geometry 100 for constructing a three-dimensional (“3D”) perspective viewing frustum 220 , relative to an x, y, z coordinate system, in accordance with elastic presentation space (EPS) graphics technology and an embodiment of the invention.
- EPS elastic presentation space
- detail-in-context views of two-dimensional (“2D”) visual representations are created with sight-line aligned distortions of a 2D information presentation surface within a 3D perspective viewing frustum 220 .
- magnification of regions of interest and the accompanying compression of the contextual region to accommodate this change in scale are produced by the movement of regions of the surface towards the viewpoint (“VP”) 240 located at the apex of the pyramidal shape containing the frustum 220 .
- the process of projecting these transformed layouts via a perspective projection results in a new 2D layout which includes the zoomed and compressed regions.
- the use of the third dimension and perspective distortion to provide magnification in EPS provides a meaningful metaphor for the process of distorting the information presentation surface.
- the 3D manipulation of the information presentation surface in such a system is an intermediate step in the process of creating a new 2D layout of the information.
- FIG. 2 is a graphical representation illustrating the geometry 200 of a presentation in accordance with EPS graphics technology and an embodiment of the invention.
- EPS graphics technology employs viewer-aligned perspective projections to produce detail-in-context presentations in a reference view plane 201 which may be viewed on a display.
- Undistorted 2D data points are located in a base plane 210 of a 3D perspective viewing volume or frustum 220 which is defined by extreme rays 221 and 222 and the base plane 210 .
- the VP 240 is generally located above the centre point of the base plane 210 and reference view plane (“RVP”) 201 .
- Points in the base plane 210 are displaced upward onto a distorted surface or “lens” 230 which is defined by a general 3D distortion function (i.e., a detail-in-context distortion basis function).
- the direction of the viewer-aligned perspective projection corresponding to the distorted surface or lens 230 is indicated by the line FPo-FP 231 drawn from a point FPo 232 in the base plane 210 through the point FP 233 which corresponds to the focal point, focus, or focal region 233 of the distorted surface or lens 230 .
- the perspective projection has a uniform direction 231 that is viewer-aligned (i.e., the points FPo 232 , FP 233 , and VP 240 are collinear).
- EPS is applicable to multidimensional data and is well suited to implementation on a computer for dynamic detail-in-context display on an electronic display surface such as a monitor.
- EPS is typically characterized by magnification of areas of an image where detail is desired 233 , in combination with compression of a restricted range of areas of the remaining information (i.e., the context) 234 , the end result typically giving the appearance of a lens 230 having been applied to the display surface.
- the areas of the lens 230 where compression occurs may be referred to as the “shoulder” or shoulder region 234 of the lens 230 .
- the area of the representation transformed by the lens may be referred to as the “lensed area”.
- the lensed area thus includes the focal region 233 and the shoulder region 234 .
- the source image or representation to be viewed is located in the base plane 210 .
- Magnification 233 and compression 234 are achieved through elevating elements of the source image relative to the base plane 210 , and then projecting the resultant distorted surface onto the reference view plane 201 .
- EPS performs detail-in-context presentation of n-dimensional data through the use of a procedure wherein the data is mapped into a region in an (n+1) dimensional space, manipulated through perspective projections in the (n+1) dimensional space, and then finally transformed back into n-dimensional space for presentation.
- EPS has numerous advantages over conventional zoom, pan, and scroll technologies, including the capability of preserving the visibility of information outside 210 , 234 the local region of interest 233 .
- EPS can be implemented through the projection of an image onto a reference plane 201 in the following manner.
- the source image or representation is located on a base plane 210 , and those regions of interest 233 of the image for which magnification is desired are elevated so as to move them closer to a reference plane situated between the reference viewpoint 240 and the reference view plane 201 .
- Magnification of the focal region 233 closest to the RVP 201 varies inversely with distance from the RVP 201 . As shown in FIGS.
- compression of regions 234 outside the focal region 233 is a function of both distance from the RVP 201 , and the gradient of the function (i.e., the shoulder function or drop-off function) describing the vertical distance from the RVP 201 with respect to horizontal distance from the focal region 233 .
- the resultant combination of magnification 233 and compression 234 of the image as seen from the reference viewpoint 240 results in a lens-like effect similar to that of a magnifying glass applied to the image.
- the various functions used to vary the magnification and compression of the source image via vertical displacement from the base plane 210 are described as lenses, lens types, or lens functions. Lens functions that describe basic lens types with point and circular focal regions, as well as certain more complex lenses and advanced capabilities such as folding, have previously been described by Carpendale.
- FIG. 3 is a block diagram of a data processing system 300 adapted to implement an embodiment of the invention.
- the data processing system 300 is suitable for implementing EPS technology and for generating detail-in-context presentations of elevation data representations.
- the data processing system 300 includes an input device 310 , a central processing unit (“CPU”) 320 , memory 330 , and a display 340 .
- the input device 310 may include a keyboard, mouse, trackball, or similar device.
- the CPU 320 may include dedicated coprocessors and memory devices.
- the memory 330 may include RAM, ROM, databases, or disk devices.
- the display 340 may include a computer screen, terminal device, or a hard-copy producing output device such as a printer or plotter.
- the data processing system 300 has stored therein data representing sequences of instructions which when executed cause the method described herein to be performed.
- the data processing system 300 may contain additional software and hardware a description of which is not necessary for understanding the invention.
- the data processing system 300 includes computer executable programmed instructions for directing the system 300 to implement the embodiments of the present invention.
- the programmed instructions may be embodied in one or more hardware or software modules 331 resident in the memory 330 of the data processing system 300 .
- the programmed instructions may be embodied on a computer readable medium (such as a CD disk or floppy disk) which may be used for transporting the programmed instructions to the memory 330 of the data processing system 300 .
- the programmed instructions may be embedded in a computer-readable, signal or signal-bearing medium that is uploaded to a network by a vendor or supplier of the programmed instructions, and this signal or signal-bearing medium may be downloaded through an interface to the data processing system 300 from the network by end users or potential buyers.
- detail-in-context presentations of data using techniques such as pliable surfaces, as described by Carpendale, are useful in presenting large amounts of information on display surfaces of variable size.
- Detail-in-context views allow magnification of a particular region-of-interest (the “focal region”) 233 in a data presentation while preserving visibility of the surrounding information 210 .
- the present invention provides a method for viewing a region-of-interest (e.g., at 480 ) within terrain data 450 using a detail-in-context lens 1210 .
- a terrain dataset 450 is assumed to consist of a set of (x, y, z) coordinates, where the (x, y) coordinates denote a position on the earth, and the z coordinate specifies the elevation of the earth at the (x, y) position.
- the detail-in-context lens 1210 is assumed to have a circular focal region 1220 (although it may have any other shape) and a shoulder region 1230 defined by a finite drop-off function or shoulder function.
- the method of the present invention allows a user to apply a detail-in-context terrain lens 1210 to a terrain dataset 450 , and view the terrain data from any point above the terrain surface. As the viewpoint vrp moves, the terrain lens 1210 is altered such that the terrain data that is in the focal region 1220 of the lens 1210 is always in view.
- the method of the present invention includes the steps described below which refer to FIGS. 4-12 .
- FIG. 4 is a graphical representation illustrating the geometry 400 of a terrain dataspace 470 and an apex-aligned vector 460 in accordance with an embodiment of the invention.
- FIG. 4 shows the definition of the terrain dataspace 470 and the apex-aligned vector 460 .
- Step 1 Define the terrain dataspace 470 in which the terrain dataset 450 is viewed.
- the terrain dataspace 470 consists of a perspective viewing volume 471 that is defined by an apex (or camera position) 440 and a viewing frustum 420 .
- a user can view the terrain dataset 450 from any point above the terrain surface 410 .
- the viewpoint is referred to as the view reference point vrp in FIG. 4 .
- Step 2 Calculate the apex-aligned vector 460 .
- the apex-aligned vector 460 is a vector from the three-dimensional lens position 480 to the apex 440 of the viewing frustum 420 .
- the z coordinate of the lens position 480 is found by approximation using the surrounding terrain dataset 450 elevation values. The method of approximation is described in more detail in the optimizations section below.
- FIG. 4 illustrates the definition of the apex-aligned vector 460 .
- FIG. 5 is a graphical representation illustrating the geometry 500 of a portion 510 of the base plane 410 in which the terrain dataset 450 is defined and which is rotated such that it remains perpendicular to the apex-aligned vector 460 in accordance with an embodiment of the invention.
- Step 3 Rotate each point of the dataset 450 that falls within the lens bounds 482 such that a corresponding portion 510 of the base plane 410 in which the terrain dataset 450 is defined remains perpendicular to the apex-aligned vector 460 .
- the portion 510 of the base plane 410 in which the terrain dataset 450 is defined is rotated such that it remains perpendicular to the apex-aligned vector 460 .
- Each point of the dataset 450 within the lens bounds 482 is rotated by an appropriate amount such that each point maintains its perpendicular spatial relationship with respect to the apex-aligned vector 460 . Since the displacement algorithm utilizes a perspective viewing volume 471 , and the terrain dataset 450 is assumed to be viewed through the perspective viewing volume 471 , the rotation of each point is specified as a translation instead of using a rotation matrix. This is due to the fact that, when viewed through a perspective viewing volume 471 , objects do not visually maintain their shapes as they are rotated about arbitrary axes.
- each point within the lens bounds 482 is translated an appropriate distance along the apex-aligned vector 460 . This ensures that the bounds 482 of the lens remain visually constant as the lens is moved around the dataspace 470 .
- the calculations for determining the amount of translation for each point that falls within the lens bounds 482 are described in the following.
- FIG. 6 is a graphical representation illustrating the geometry 600 for finding the maximum translation value 610 for a point using similar triangles in accordance with an embodiment of the invention.
- Step 3a Calculate the maximum translation 610 that can occur.
- the pseudo-rotation of the points within a lens bounds 482 occurs about an axis of rotation.
- the maximum translation 610 occurs for the points (when taken with respect to the centre of the lens 480 ) that are on the lens bounds 482 and that are perpendicular to the axis of rotation.
- the maximum translation 610 that can occur for a point p is found and is used to interpolate the translation values for all points interior to the lens bounds 482 .
- the maximum translation value 610 is found by taking a point p that is perpendicular to the axis of rotation (as stated above), and projecting it onto the rotated plane (see FIG. 6 ). The distance from the original point p to the projected point p projected is the maximum translation value 610 . As shown in FIG. 6 , similar triangles can be used to find the maximum translation value for a point p.
- the maximum translation value maxt 610 is as follows: maxt ⁇ (0,0,radius) ⁇ proj ((0,0,radius), a) ⁇ , where a is the apex-aligned vector 460 , radius or r is the radius of the lens bounds 482 , and the function proj(i, j) returns the projection of vector i onto vector j.
- FIG. 7 is a graphical representation illustrating the geometry 700 of a projection for finding the scaling factor that is used in the calculation of the magnitude of translation for a point p in accordance with an embodiment of the invention.
- Step 3b Calculate the magnitude of the translation for each point p.
- the vectors a 2D and p 2D are used to find a scaling factor 25 that will scale the maximum translation value maxt 610 , which will result in the magnitude of translation for the point p.
- Step 3c Translate each point p with respect to the lens position 480 .
- Step 4 Displace each point p by the appropriate magnification factor.
- FIG. 8 is a graphical representation illustrating the geometry 800 of the result of the pseudo-rotation and displacement of each point p that falls within the lens bounds 482 in accordance with an embodiment of the invention.
- the result of the displacement of all points p within the lens bounds 482 that is, the displaced data or lens 810 , is shown in FIG. 8 .
- FIG. 9 is a graphical representation illustrating the geometry 900 of the rotation towards the vrp of each point p that falls within the lens bounds 482 in accordance with an embodiment of the invention.
- the angle and axis of rotation are computed using the ao and vo vectors.
- FIG. 10 is a graphical representation illustrating the geometry 1000 of a discontinuity 1030 occurring between the shoulder region 1010 and the context data 450 after the application of the displacement and rotation transformations in accordance with an embodiment of the invention.
- Step 6 Create smooth shoulders 1010 that are connected to the context data 450 .
- the shoulders 1010 of the lens 810 do not line up correctly with the context data 450 (i.e., points that fall outside of the lens bounds 482 ).
- FIG. 10 illustrates the resulting discontinuities 1030 .
- each point p that falls within the shoulder 1010 of the lens 810 will be translated an appropriate amount which will compensate for the discontinuity 1030 .
- the following steps are used to find the magnitude and direction of translation for a point p that falls within the shoulder 1010 of the lens 810 .
- Step 6a Find the axis of rotation that a point p was rotated about.
- Each point p that falls within the shoulder 1010 of the lens 810 has undergone two rotation transformations (i.e., the pseudo-rotation towards the apex and the rotation towards the vrp).
- the axes of rotation for these two transformations may have been different.
- the rotation of any given point p is the result of two separate rotations.
- FIG. 11 is a graphical representation illustrating the geometry 1100 of the projection of p 2D onto the axis of rotation and the resulting edge points in accordance with an embodiment of the invention.
- Step 6b Project the point p onto the axis of rotation.
- Step 6c Find two points that are on the edge of the lens bounds 482 that form a line through p projected that is perpendicular to axis 2D .
- Two edge points pt 1 2D and pt 2 2D are found by using ⁇ t in the line equation.
- the z elevation coordinates of these two points are found using the approximation method that is described in the optimizations section below, yielding the three-dimensional edge points pt 1 and pt 2 .
- Step 6d Apply rotation and displacement transformations to each edge point pt 1 , pt 2 and find the difference vectors diff 1 , diff 2 between the original and transformed edge points.
- Each edge point will undergo the pseudo-rotation, displacement, and final rotation transformations that are specified in Steps 2-5 above in order to obtain the difference between the original edge points (pt 1 and pt 2 ) and the transformed edge points (pt 1 transformed and pt 2 transformed , respectively).
- This difference specifies the magnitude and direction of translation that the edge points will undergo, which will essentially connect the lens shoulder region 1010 back to the context data 450 .
- the difference vectors for each edge are used as a weighted average to find the amount of translation that is needed for points p that are interior to the lens bounds 282 (i.e., points that do not fall on the lens bounds 282 but rather fall between the lens bounds 282 and the focal bounds 481 ).
- FIG. 12 is a graphical representation illustrating the geometry 1200 of the final lens 1210 resulting from the displacement of terrain data 450 that fell within the lens bounds 482 in accordance with an embodiment of the invention.
- Step 6e Calculate the amount of translation for a point p to obtain smooth shoulders 1010 .
- the difference vectors diff 1 and diff 2 that were found for each edge point are used as a weighted average to find the amount of translation for a point p.
- FIG. 12 shows a cross section of the final result 1210 of the displacement of terrain data that fell within the lens bounds 482 . Note that the resulting lens 1210 has shoulders 1230 surrounding the focal region 1220 that smoothly join the surrounding context 450 (i.e., the terrain data 450 beyond the lens bounds 482 ).
- the terrain datasets 450 that are used in terrain visualization are often very large in size, consisting of thousands of data points. When this is the case, due to processing limitations, it may not be feasible to run each point through the terrain displacement method described above.
- a terrain lens mesh may be used to visualize the displacement of a terrain lens 1210 .
- the mesh bounds are defined as the bounds 482 of the lens 1210 .
- Two-dimensional points are inserted into the mesh and a Delauney triangulation is calculated.
- the z elevation of each point is approximated using the surrounding terrain dataset elevation values as described below. Once the z elevations for each point within the mesh have been approximated, each three-dimensional mesh point can be run through the terrain displacement method described above.
- Elevation Approximations Since terrain elevation datasets 450 are discrete and finite, any given coordinate that is within the bounds of the terrain dataset may not have an explicit elevation value associated with it. Therefore, within the terrain displacement method and the terrain lens mesh optimization both described above, an approximation for the z elevation for any given (x, y) coordinate may be used. This approximation uses the surrounding terrain dataset coordinates to compute the estimated elevation for an (x, y) coordinate.
- the terrain dataset coordinates can be random or ordered, but ordered points (such as a grid structure) will increase efficiency of the approximation algorithm. According to one embodiment, a bilinear approximation may be used given a grid structured terrain dataset.
- FIG. 13 is a flow chart illustrating operations 1300 of modules 331 within the memory 330 of a data processing system 300 for generating a presentation of a region-of-interest (e.g., at 480 ) in a terrain data representation 450 for display on a display screen 340 , in accordance with an embodiment of the application.
- a region-of-interest e.g., at 480
- each point p of the representation 450 within a lens bounds 482 is translated to a rotated plane 510 being normal to a vector 460 defined by a position 480 for the region-of-interest with respect to a base plane 410 for the representation 450 and an apex 440 above the base plane 410 , the lens bounds 482 defining a shoulder region (i.e., between 482 and 481 ) at least partially surrounding a focal bounds 481 defining a focal region (i.e., between 481 and 480 ) in which the position 480 is located, each point p having a respective height pz above the base plane 410 .
- each translated point p translated is displaced from the rotated plane 510 by a function height p of the respective height p z and a magnification mag for the focal region 481 , 482 , the magnification mag varying across the shoulder region 481 , 482 in accordance with a drop-off function shoulder(p).
- each displaced point p displaced is rotated toward a viewpoint vrp for the region-of-interest to maintain visibility of each displaced point p displaced and each point p of the data representation 450 beyond the lens bounds 482 when viewed from the viewpoint vrp.
- each rotated point p rotated corresponding to the shoulder region 481 , 482 is adjusted to provide a smooth transition 1230 to the data representation 450 beyond the lens bounds 482 .
- the method may further include projecting each adjusted point p rotated +diff p within the shoulder region 1230 , each rotated point p rotated within the focal region 1220 , and each point p of the representation 450 beyond the lens bounds 482 onto a plane 201 in a direction 231 aligned with the viewpoint vrp to produce the presentation.
- the method may further include displaying the presentation on the display screen 340 .
- the step of translating 1302 each point p may further include determining a maximum translation maxt 610 for a point p on the lens bounds 482 and determining a translation trans p for each point p within the lens bounds (i.e., between 482 and 480 ) by scaling the maximum translation 610 in accordance with a distance scale p /radius of each point from the lens bounds 482 .
- the function height p may be a product of the magnification mag and a difference h between a magnitude of a vector ⁇ vo ⁇ defined by an origin 490 of the representation 450 with respect to the base plane 410 and the viewpoint vrp and the respective height p z .
- the step of rotating 1304 each displaced point p displaced may further include determining an axis of rotation axis for the rotating from a cross product of a vector ao defined by an origin 490 of the representation 450 with respect to the base plane 410 and the viewpoint vrp and a vector vo defined by the origin 290 and the apex apex 440 .
- the method may further include approximating the representation 450 with a mesh. And, the method may further include approximating the respective height p z using height information from surrounding points.
- sequences of instructions which when executed cause the method described herein to be performed by the exemplary data processing system 300 of FIG. 3 can be contained in a data carrier product according to one embodiment of the invention.
- This data carrier product can be loaded into and run by the exemplary data processing system 300 of FIG. 3 .
- the sequences of instructions which when executed cause the method described herein to be performed by the exemplary data processing system 300 of FIG. 3 can be contained in a computer software product according to one embodiment of the invention.
- This computer software product can be loaded into and run by the exemplary data processing system 300 of FIG. 3 .
- the sequences of instructions which when executed cause the method described herein to be performed by the exemplary data processing system 300 of FIG. 3 can be contained in an integrated circuit product (e.g., a hardware module) including a coprocessor or memory according to one embodiment of the invention.
- This integrated circuit product can be installed in the exemplary data processing system 300 of FIG. 3 .
Abstract
Description
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