WO2007119186A3 - Object recognition - Google Patents

Object recognition Download PDF

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Publication number
WO2007119186A3
WO2007119186A3 PCT/IB2007/051170 IB2007051170W WO2007119186A3 WO 2007119186 A3 WO2007119186 A3 WO 2007119186A3 IB 2007051170 W IB2007051170 W IB 2007051170W WO 2007119186 A3 WO2007119186 A3 WO 2007119186A3
Authority
WO
WIPO (PCT)
Prior art keywords
objects
image
positions
recognition
object recognition
Prior art date
Application number
PCT/IB2007/051170
Other languages
French (fr)
Other versions
WO2007119186A2 (en
Inventor
Richard P Kleihorst
Renaud S Deysine
Original Assignee
Koninkl Philips Electronics Nv
Richard P Kleihorst
Renaud S Deysine
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Koninkl Philips Electronics Nv, Richard P Kleihorst, Renaud S Deysine filed Critical Koninkl Philips Electronics Nv
Publication of WO2007119186A2 publication Critical patent/WO2007119186A2/en
Publication of WO2007119186A3 publication Critical patent/WO2007119186A3/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
    • G06V10/757—Matching configurations of points or features

Abstract

The invention relates to recognition of objects from an image of at least the object, and in particular to object recognition of objects such as walls, doors or other housing objects. The invention discloses recognizing an object 104, 106, 136, 146, 302, 304, 306, 404, 402, 502, 504 from an image 102, 134, 406 of at least the object, comprising detecting a plurality of object features, such as 108, 110, 112, 114, 116, 118, 120, 122, 314, 315, 316, 318, 320, 322, determining a plurality of positions within the image of the object features relative to at least one axis, and comparing the positions with reference positions of a reference structure of a reference object, e.g. in order to decrease an ambiguity with which objects can be recognized.
PCT/IB2007/051170 2006-04-13 2007-04-02 Object recognition WO2007119186A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP06300368.5 2006-04-13
EP06300368 2006-04-13

Publications (2)

Publication Number Publication Date
WO2007119186A2 WO2007119186A2 (en) 2007-10-25
WO2007119186A3 true WO2007119186A3 (en) 2007-12-27

Family

ID=38529747

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2007/051170 WO2007119186A2 (en) 2006-04-13 2007-04-02 Object recognition

Country Status (1)

Country Link
WO (1) WO2007119186A2 (en)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000215315A (en) * 1999-01-26 2000-08-04 Ricoh Co Ltd Graphic classifying method, graphic retrieving method, graphic classification and retrieval system, and recording medium
US20040062419A1 (en) * 2002-10-01 2004-04-01 Samsung Electronics Co., Ltd. Landmark, apparatus, and method for effectively determining position of autonomous vehicles

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2000215315A (en) * 1999-01-26 2000-08-04 Ricoh Co Ltd Graphic classifying method, graphic retrieving method, graphic classification and retrieval system, and recording medium
US20040062419A1 (en) * 2002-10-01 2004-04-01 Samsung Electronics Co., Ltd. Landmark, apparatus, and method for effectively determining position of autonomous vehicles

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
BOURDON O ET AL: "Object recognition using geometric hashing on the Connection Machine", PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION. ATLANTIC CITY, JUNE 16 - 21, 1990. CONFERENCE A : COMPUTER VISION AND CONFERENCE B : PATTERN RECOGNITION SYSTEMS AND APPLICATIONS, LOS ALAMITOS, IEEE COMP. SOC. PRESS, US, vol. VOL. 1 CONF. 10, 16 June 1990 (1990-06-16), pages 596 - 600, XP010020500, ISBN: 0-8186-2062-5 *
EDWARDS J ET AL: "Recognition of multiple objects using geometric hashing techniques", PROCEEDINGS OF THE CONFERENCE ON DECISION AND CONTROL. SAN ANTONIO, DEC. 15 - 17, 1993, NEW YORK, IEEE, US, vol. VOL. 3 CONF. 32, 15 December 1993 (1993-12-15), pages 1617 - 1622, XP010116521, ISBN: 0-7803-1298-8 *
GEORGE BEBIS ET AL: "Brief PapersUsing Self-Organizing Maps to Learn Geometric Hash Functions for Model-Based Object Recognition", IEEE TRANSACTIONS ON NEURAL NETWORKS, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, vol. 9, no. 3, May 1998 (1998-05-01), XP011040130, ISSN: 1045-9227 *
HUTTENLOCHER D P ET AL: "OBJECT RECOGNITION USING ALIGNMENT", IMAGE UNDERSTANDING WORKSHOP. PROCEEDINGS, vol. 1, 23 February 1987 (1987-02-23), pages 370 - 380, XP008018730 *
LAMDAN Y ET AL: "Geometric Hashing: A General And Efficient Model-based Recognition Scheme", SECOND INTERNATIONAL CONFERENCE ON COMPUTER VISION, 1988, 5 December 1988 (1988-12-05), pages 238 - 249, XP010225219 *
LAMDAN Y ET AL: "Object recognition by affine invariant matching", PROCEEDINGS OF THE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION. ANN ARBOR, JUNE 5 - 9, 1988, WASHINGTON, IEEE COMP. SOC. PRESS, US, 5 June 1988 (1988-06-05), pages 335 - 344, XP010012869, ISBN: 0-8186-0862-5 *

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Publication number Publication date
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