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10th International Conference on Image Analysis and Processing (ICIAP'99)
Distinctiveness Maps for Image Matching
Venice, Italy
September 27-September 29
ISBN: 0-7695-0040-4
Roberto Manduchi, California Institute of Technology
Carlo Tomasi, Stanford University
Stereo correspondence is hard because different image features can look alike. We propose a measure for the ambiguity of image points that allows matching distinctive points first and breaks down the matching task into smaller and separate sub-problems. Experiments with an algorithm based on this measure demonstrate the ensuing efficiency and low likelihood of incorrect matches.
Citation:
Roberto Manduchi, Carlo Tomasi, "Distinctiveness Maps for Image Matching," iciap, pp.26, 10th International Conference on Image Analysis and Processing (ICIAP'99), 1999
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