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, 264-271, December 2001
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
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.
Marco Forte (fortem@tcd.ie)