Image analysis – Applications – 3-d or stereo imaging analysis
Reexamination Certificate
2006-02-22
2011-12-13
Lu, Tom Y (Department: 2624)
Image analysis
Applications
3-d or stereo imaging analysis
C356S003140, C340S435000, C340S436000
Reexamination Certificate
active
08077965
ABSTRACT:
An object recognition apparatus that processes images, as acquired by an imaging means (10) mounted on a moving object, in a first image plane and a second image plane of different points of view, and recognizes an object in the vicinity of the moving object. The object recognition apparatus comprises: a feature point detection means (42) that detects feature points in first and second image planes of an object image; a fundamental matrix determination means (43a) that determines, based on calculation of an epipole through the auto-epipolar property, a fundamental matrix that expresses a geometrically corresponding relationship based on translational camera movement, with not less than two pairs of feature points corresponding between the first and second image planes; and a three-dimensional position calculation means (43b) that calculates a three-dimensional position of an object based on the coordinates of the object in the first and second image planes and the determined fundamental matrix.
REFERENCES:
patent: 7038577 (2006-05-01), Pawlicki et al.
patent: 7154395 (2006-12-01), Raskar et al.
patent: 7251356 (2007-07-01), Seo et al.
patent: 7440585 (2008-10-01), Roh et al.
patent: 5-114099 (1993-05-01), None
patent: 2001-187553 (2001-07-01), None
patent: 2004-198211 (2004-07-01), None
Pritchett et al., “Matching and Reconstruction from Widely Separated Views”, 3D Structure from Multiple Images of Large-Scale Environments, Lecture Notes in Computer Science, 1998, vol. 1506/1998, 78-92.
Supplementary European Search Report issued in European Application No. 06714305.7-2218/1852673 dated Jul. 7, 2010 (8 pages).
Prattichizzo, Domenico, et al., “Epiploar Gemoetry and Visual Servoing,” Jul. 14, 2003, Retrieved from the Internet: URL:http://ww.prixma.unina.it/cira03/MP—Prattichizzo.pdf, retrieved on Jun. 17, 2010, pp. 2-5 and 7-9.
Zhang, Z., “Determining the Epipolar Gemoetry and its Uncertainty: A Review,” International Journal of Computer Vision, Kluwer Academic Publishers, Norwell, U.S., LNKD- DOI:10.1023/A:1007941100561, vol. 27, No. 2, Mar. 1, 1988, pp. 161-195, Sections 3.2.4 and 3.4.
Piazzi, J., et al., “Auto-epipolar Visual Servoing,:” Intelligent Robots and Systems, 2004 (IROS 2004) Proceedings, 2004 I EEE/RSJ International Conference on Sendai, Japan Sep. 29-Oct. 2, 2004, Piscataway, NJ, USA, IEEE, Piscataway, NJ, USA LNKD-DOI:10.1109/IROS.2004.1389379, vol. 1, Sep. 29, 2004, pp. 363-368.
Phillip Torr, Motion Segmentation and Outlier Detection, University of Oxford, 1995, pp. 58-60.
Jun Sato et al., Kyokumenjo no Epipolar Geometry to Mikosei Camera ni yoru Shikaku Yudo, The Transactions of the Institute of Electronics, Information and Communication Engineers D-II, Sep. 25, 1999, pp. 1401 to 1410, vol. J82-D-II, No. 9.
Kakinami Toshiaki
Sato Jun
Aisin Seiki Kabushiki Kaisha
Conway Thomas
Lu Tom Y
Sughrue & Mion, PLLC
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