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Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science.
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Graph cuts segmentation http://www.csd.uwo.ca/~yuri/Papers/iccv01.pdf http://www.csd.uwo.ca/~yuri/Papers/iccv99.pdf
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http://ai.stanford.edu/~ang/papers/nips01-spectral.pdf http://www.cis.upenn.edu/~jshi/papers/Ncut.pdf http://www.cis.upenn.edu/~jshi/papers/pami_ncut.pdf Spectral segmentation Automatic, no user input group pixels with similar low level cues (color/texture) No clever high level decisions such as objects identities, just grouping coherent regions
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Normalized Cuts
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Original Image and rows from the weight matrix
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Eigen vectors
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Segmentation
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How many groups?
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