CVFX Lecture 4: Markov Random Field (MRF) and Random Walk Matting

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ECSE-6969 Computer Vision for Visual Effects
Rich Radke, Rensselaer Polytechnic Institute
Lecture 4: Markov Random Field (MRF) and Random Walk Matting:  (2/3/14)

Follows Sections 2.5-2.6 of the textbook, http://cvfxbook.com

Key references:

J. Wang and M. Cohen. An iterative optimization approach for unified image segmentation and matting. In IEEE International Conference on Computer Vision (ICCV), 2005.
http://dx.doi.org/10.1109/ICCV.2005.37

L. Grady. Random walks for image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(11):1768--83, Nov. 2006.
http://dx.doi.org/10.1109/TPAMI.2006.233

J. Wang and M. Cohen. Optimized color sampling for robust matting. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 2007.
http://dx.doi.org/10.1109/CVPR.2007.383006

J. Wang, M. Agrawala, and M. Cohen. Soft scissors: an interactive tool for realtime high quality matting. In ACM SIGGRAPH (ACM Transactions on Graphics), 2007. 
http://dx.doi.org/10.1145/1276377.1276389

YouTube url:	https://www.youtube.com/watch?v=5c6uE_CKl2I&index=4&list=PLuh62Q4Sv7BUJlKlt84HFqSWfW36MDd5a
Created:	20. 7. 2015 16:18:24

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CVFX Lecture 4: Markov Random Field (MRF) and Random Walk Matting