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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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Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science. Graph cuts segmentation. http://www.csd.uwo.ca/~yuri/Papers/iccv01.pdf http://www.csd.uwo.ca/~yuri/Papers/iccv99.pdf. - PowerPoint PPT Presentation

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Page 1: Graph cuts segmentation

Lecture#6: segmentation

Anat LevinIntroduction to Computer Vision Class

Fall 2009Department of Computer Science and App math,

Weizmann Institute of Science.

Page 2: Graph cuts segmentation

Graph cuts segmentation

http://www.csd.uwo.ca/~yuri/Papers/iccv01.pdfhttp://www.csd.uwo.ca/~yuri/Papers/iccv99.pdf

http://www.csd.uwo.ca/~yuri/Papers/iccv01.pdf
Page 3: Graph cuts segmentation
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http://ai.stanford.edu/~ang/papers/nips01-spectral.pdfhttp://www.cis.upenn.edu/~jshi/papers/Ncut.pdfhttp://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

http://www.cis.upenn.edu/~jshi/papers/Ncut.pdf
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Normalized Cuts

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Original Image and rows from the weight matrix

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Eigen vectors

Page 8: Graph cuts segmentation

Segmentation

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How many groups?

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Graph Cut Segmentation - ele.puc-rio.brraul/ImageAnalysis/GRAPH CUT SEGMENTATIO… · Shi, J. and Malik, J., (1998), Motion Segmentation and Tracking Using Normalized Cuts, Proc

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