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bayesian_matting.py (7028, 2017-01-24)
gandalf.png (214290, 2017-01-24)
gandalfAlpha.png (8456, 2017-01-24)
gandalfTrimap.png (8458, 2017-01-24)
orchard_bouman_clust.py (1491, 2017-01-24)

# bayesian-matting Python implementation of Yung-Yu Chuang, Brian Curless, David H. Salesin, and Richard Szeliski. A Bayesian Approach to Digital Matting. In Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, 2***-271, December 2001 ### Requirements - python 3.5+ (Though it should run on 2.7 with some minor tweaks) - scipy - numpy - numba > 0.30.1 (Not neccesary, but does give a 5x speedup) - matplotlib - opencv ### Running the demo - 'python bayesian_matting.py' - sigma () fall off of gaussian weighting to local window - N size of window to construct local fg/bg clusters from - minN minimum number of known pixels in local window to proceed ### Results ### More Information For more information see the orginal project website http://grail.cs.washington.edu/projects/digital-matting/image-matting/ This implementation was mostly adapted from Michael Rubinsteins matlab code here, http://www1.idc.ac.il/toky/CompPhoto-09/Projects/Stud_projects/Miki/index.html http://people.csail.mit.edu/mrub/code/bayesmat.zip ### Disclaimer The code is free for academic/research purpose. Use at your own risk and we are not responsible for any loss resulting from this code. Feel free to submit pull request for bug fixes. ### Contact [Marco Forte](https://marcoforte.github.io/) (fortem@tcd.ie) #### Original authors: [Yung-Yu Chuang](http://www.cs.washington.edu/homes/cyy) [Brian Curless](http://www.cs.washington.edu/homes/curless) [David Salesin](http://www.cs.washington.edu/homes/salesin) [Richard Szeliski](http://www.research.microsoft.com/~szeliski)

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