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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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Presentation on theme: "Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science."— Presentation transcript:

1 Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science.

2 Graph cuts segmentation http://www.csd.uwo.ca/~yuri/Papers/iccv01.pdf http://www.csd.uwo.ca/~yuri/Papers/iccv99.pdf

3

4 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

5 Normalized Cuts

6 Original Image and rows from the weight matrix

7 Eigen vectors

8 Segmentation

9 How many groups?

10

11

12

13

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