Readings

Belief Propagation

• Michael I Jordan and Yair Weiss, Probabilistic inference in graphical models, book chapter
• William T. Freeman, Egon C. Pasztor, Learning low-level vision, ICCV 1999.  Optional:  More complete IJCV version.
• M. F. Tappen and W. T. Freeman, Comparison of graph cuts with belief propagation for stereo, using identical MRF parameters, ICCV 2003
• (optional) Sun, H. Y. Shum, and N. N. Zheng. Stereo matching using belief propagation. PAMI 2003
• (optional) James M. Coughlan and Sabino J. Ferreira, Finding Deformable Shapes using Loopy Belief Propagation, ECCV 2002.

Variational Inference and Expectation Maximization

• Brendan J. Frey and Nebojsa Jojic, Advances in algorithms for inference and learning in complex probability models, tutorial
• N. Jojic, B.Frey & A.Kannan , Epitomic analysis of appearance and shape, ICCV 2003

Graph Cuts

• Olga Veksler, Efficient Graph-Based Energy Minimization Methods in Computer Vision, Ph.D. thesis
• read up on max-flow/min-cut algorithms in your favorite algorithms book
• V. Kwatra , A. Schödl , I. Essa , G. Turk and A. Bobick, Graphcut textures: image and video synthesis using graph cuts, SIGGRAPH 2003