Cosegmentation

This is the code for:

• Discriminative Clustering for Image Co-segmentation Armand Joulin, Francis Bach and Jean Ponce. CVPR, 2010.
• Multi-Class Cosegmentation Armand Joulin, Francis Bach and Jean Ponce. CVPR, 2012.

Please these papers if you use this code (bibtex below).

Requirements:

You need the vlfeat image toolbox by Andrea Vedaldi and Brian Fulkerson: http://www.vlfeat.org/

You need Mark Schmidt's optimization toolbox: http://www.di.ens.fr/~mschmidt/Software/minFunc.html

Install:

run mexAll.m in MATLAB to compile all mex files

Run it:

There are three examples:

• coseg_example.m : classical coseg example
• multicoseg_example.m : multiclass coseg example
• grabcut_example.m : grabcut example on single image (note that you can use it on multiple images)

Import options:

• param.onlyDiffrac : To run the cvpr'10 alone

• param.initDiffac : Initialize the cvpr'12 cod by the cvpr'10 one

• param.useMask : to use boundingboxes (i.e. grabcut)

• typeFeat : either 'color' or 'sift'

• typeKernel : either 'chi2' or 'Hellsinger'

Bibtex:

@InProceedings{JouBacPon12, title = "Multi-Class Cosegmentation", booktitle = "Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR)", author = "A. Joulin and F. Bach and J. Ponce", year = "2012" }

@InProceedings{JouBacPonc10_cvpr, title = "Discriminative Clustering for Image Co-segmentation", booktitle = "Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR)", author = "A. Joulin and F. Bach and J. Ponce", year = "2010" }

Contact:

Please if you have questions or problems, contact: armand.joulin at gmail.com