Image analysis – Applications – 3-d or stereo imaging analysis
Reexamination Certificate
2005-12-13
2005-12-13
Mehta, Bhavesh M. (Department: 2625)
Image analysis
Applications
3-d or stereo imaging analysis
C382S285000, C382S294000, C345S419000, C356S012000, C348S042000
Reexamination Certificate
active
06975755
ABSTRACT:
An apparatus (2) for matching features in images of objects taken from different viewpoints is provided comprising: an image buffer (60) for receiving image data; and output buffer (62) for outputting pairs of matched features and processing means (64–78) for processing received image data to determine matched pairs of features in images. The processing means (64–78) includes a detection module (72) for detecting features at a number of different scales to account for the possibility that a feature in one image may correspond to a larger or smaller feature in another image; a characterization module (74) for generating characterization data for selected features where the characterization data is substantially independent of changes of scale, and the effects of stretch and skew resulting from viewing objects from different viewpoints; and a matching module (76) for outputting as pairs of matched features, features which most closely correspond to each other which are unambiguously better matches than any alternative match between features in different images.
REFERENCES:
patent: 5073962 (1991-12-01), Califano
patent: 5101270 (1992-03-01), Boone et al.
patent: 5132842 (1992-07-01), Yeh
patent: 5671297 (1997-09-01), Koppe et al.
patent: 5710833 (1998-01-01), Moghaddam et al.
patent: 5719954 (1998-02-01), Onda
patent: 5734743 (1998-03-01), Matsugu et al.
patent: 5828769 (1998-10-01), Burns
patent: 5848193 (1998-12-01), Garcia
patent: 5911005 (1999-06-01), Uchiyama
patent: 5974192 (1999-10-01), Kundu
patent: 5991429 (1999-11-01), Coffin et al.
patent: 6266452 (2001-07-01), McGuire
patent: 6282317 (2001-08-01), Luo et al.
patent: 6381346 (2002-04-01), Eraslan
patent: 6744909 (2004-06-01), Kostrzewski et al.
patent: 0898245 (1999-02-01), None
patent: 0901105 (1999-03-01), None
patent: WO 93/15474 (1993-08-01), None
Cohen et al., “Hierarchical Region Based Stereo Matching”, 1989, IEEE, pp. 416-421.
Chung, “Rigidity Constraints across Two Views under Weak Perspective”, 1995, IEEE, pp. 2730-2735.
Saint-Marc et al., “Adaptive Smoothing: A General Took for Early Vision”, Jun. 1991, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, No. 6, pp. 514-529.
“Calibration of Image Sequences For Model Visualisation”, A. Broadhurst et al., 1999 IEEE Computer Society Conference On Computer Vision and Pattern Recognition, vol. 1, pp. 100-105, Jun. 23-25, 1999, Fort Collins, Colorado.
“Efficient Bundle Adjustment With Virtual Key Frames: A Hierarchical Approach To Multi-Frame Structure From Motion”, Heung-Yeung Shum et al., 1999 IEEE Computer Society Conference On Computer Vision and Pattern Recognition, vol. 2, pp. 538-543, Jun. 23-25, 1999, Fort Collins, Colorado.
“A Robust Technique For Matching Two Uncalibrated Images Through The Recovery of The Unknown Epipolar Geometry”, Zhengyou Zhang et al., Research Report No. 2273, INRIA Sophia-Antipolis, pp. 15-47, Cedesc (France), 1994.
“Photorealistic Scene Reconstruction by Voxcel Coloring”, S. Seitz et al., Proc. Conf. Computer Vision and Pattern Recognition, pp. 1067-1073, 1997.
“Plenoptic Image Editing”, S. Seitz et al., Proc. 6thInternational Conf. On Computer Vision, pp. 17-24.
“Rapid Octree Construction From Image Sequences”, R. Szeliski, CVGIP: Image Understanding, vol. 58, No. 1, pp. 23-48, Jul., 1993.
“Polynomial Expansion of Severely Aberrated Wave Fronts”, J. Braat, J. Opt. Soc. Am. A, vol. 4, No. 4, pp. 643-650, Apr., 1987.
“Closed-Form Solution of Absolute Orientation Using Unit Quaternions”, B. Horn, J. Opt. Soc. Am. A, vol. 4, No. 4, pp. 629-642.
“Shape-adapted smoothing in estimation of 3-D shape cues from affine deformations of local 2-D brightness structure”, Tony Lindeberg, Jonas Gårding, Computational Vision and Active Perception Laboratory (CVAP), Department of Numerical Analysis and Computing Science, KTH (Royal Institute of Technology), S-100 44 Stockholm, Sweden, Image and Vision Computer 15 (1997), pp 415-434.
“Affine/Photometric Invariants for Planar Intensity Patterns”, Luc Van Gool, Theo Moons and Dorin Ungureanu, Katholieke Universiteit Leuven, ESAT—M12, K. Mercierlaan 94, B-3001 Heverlee, Belgium, pp 642-651.
“Extracting the Affine Transformation from Texture Moments,” Jun Sato and Robert Cipolla, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, England, Lecture Notes in Computer Science, vol. 801, pp 165-172.
“The Revised Fundamental Theorem of Moment Invariants,” T H Reiss, IEEE Transactions of Pattern Analysis and Machine Intelligence, vol. 13, No. 8, Aug. 1991, pp 830-834.
“Wide Baseline Stereo Matching”, Philip Pritchett and Andrew Zisserman, Robotics Research Group, Department of Engineering Science, Oxford University, OX1 3PJ, pp 754-760.
“A Fast Matching Method for Color Uncalibrated Images using Differential Invariants”, V Gouet, P Montesinos, D Pel, British Machine Vision Conference, 1998, vol. 1, pp 367-376.
“Local Grayvalue Invariants for Image Retrieval”, Cordelia Schmid and Roger Mohn, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, No. 5, May 1997, pp 530-535.
Carter Aaron
Mehta Bhavesh M.
LandOfFree
Image processing method and apparatus does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Image processing method and apparatus, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Image processing method and apparatus will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3505264