A. Klaus, M. Sormann, and K. F. Karner, Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure, 18th International Conference on Pattern Recognition (ICPR'06), 2006.
DOI : 10.1109/ICPR.2006.1033
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.119.1548

Q. Yang, L. Wang, R. Yang, H. Stewnius, and D. Nister, Stereo matching with color-weighted correlation, hierarchical belief propagation and occlusion handling, CVPR, 2006.

I. Michael, Z. Jordan, T. S. Ghahramani, L. K. Jaakkola, and . Saul, An Introduction to Variational Methods for Graphical Models, Machine Learning, 1999.

C. Strecha, R. Fransens, and L. J. Van-gool, Combined Depth and Outlier Estimation in Multi-View Stereo, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006.
DOI : 10.1109/CVPR.2006.78

P. F. Felzenszwalb and D. P. Huttenlocher, Efficient belief propagation for early vision, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2006.
DOI : 10.1109/CVPR.2004.1315041
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.5399

F. Heitz and P. Bouthemy, Multimodal estimation of discontinuous optical flow using Markov random fields, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.12, 1993.
DOI : 10.1109/34.250841
URL : https://hal.archives-ouvertes.fr/inria-00075193

V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother, Probabilistic fusion of stereo with color and contrast for bilayer segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.9, 2006.
DOI : 10.1109/TPAMI.2006.193

J. Sun, N. N. Zheng, and H. Y. Shum, Stereo Matching Using Belief Propagation, PAMI, vol.25, issue.7, 2003.
DOI : 10.1007/3-540-47967-8_34
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.2039

D. Geman, S. Geman, C. Graffigne, and P. Dong, Boundary detection by constrained optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, 1990.
DOI : 10.1109/34.56204

J. Wu and A. C. Chung, A Segmentation Model Using Compound Markov Random Fields Based on a Boundary Model, IEEE Transactions on Image Processing, vol.16, issue.1, 2007.
DOI : 10.1109/TIP.2006.884933
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8336

D. Hoiem, A. Stein, A. A. Efros, and M. Hebert, Recovering Occlusion Boundaries from a Single Image, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408985
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.9258

S. Mattoccia, F. Tombari, and L. D. Stefano, Stereo Vision Enabling Precise Border Localization Within a Scanline Optimization Framework, ACCV, 2007.
DOI : 10.1007/978-3-540-76390-1_51
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.3035