A. Ansar, A. Castano, and L. Matthies, Enhanced realtime stereo using bilateral filtering, 3D Data Processing, Visualization and Transmission Proceedings. 2nd International Symposium on, pp.455-462, 2004.
DOI : 10.1109/tdpvt.2004.1335273
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.106.3013

S. Bagon and M. Galun, A multiscale framework for challenging discrete optimization, 2012.

S. Birchfield and C. Tomasi, A pixel dissimilarity measure that is insensitive to image sampling. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.20, issue.4, pp.401-406, 1998.

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.23, issue.11, pp.1222-1239, 2001.
DOI : 10.1109/iccv.1999.791245
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.112.6806

L. G. Brown, A survey of image registration techniques, ACM Computing Surveys, vol.24, issue.4, pp.325-376, 1992.
DOI : 10.1145/146370.146374

M. Brown, D. Burschka, and G. Hager, Advances in computational stereo. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.25, issue.8, pp.993-1008, 2003.

P. Felzenszwalb and D. Huttenlocher, Efficient belief propagation for early vision, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.261-268, 2004.
DOI : 10.1109/CVPR.2004.1315041
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.5399

A. Fix, A. Gruber, E. Boros, and R. Zabih, A graph cut algorithm for higher-order Markov Random Fields, 2011 International Conference on Computer Vision, pp.1020-1027, 2011.
DOI : 10.1109/ICCV.2011.6126347

E. Gamble and T. Poggio, Visual integration and detection of discontinuities: The key role of intensity edges, 1987.

S. Geman and D. Geman, Stochastic relaxation, gibbs distributions , and the bayesian restoration of images. Pattern Analysis and Machine Intelligence, IEEE Transactions on PAMI, vol.6, issue.6, pp.721-741, 1984.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2004.
DOI : 10.1017/CBO9780511811685

H. Hirschmuller, Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.807-814, 2005.
DOI : 10.1109/CVPR.2005.56
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.8897

B. Horn and B. Schunck, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1651

H. Ishikawa, Transformation of general binary mrf minimization to the first-order case. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.33, issue.6, pp.1234-1249, 2011.

J. Kappes, B. Andres, F. Hamprecht, C. Schnorr, S. Nowozin et al., A comparative study of modern inference techniques for discrete energy minimization problems, Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, pp.1328-1335, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00865699

J. Kim, V. Kolmogorov, and R. Zabih, Visual correspondence using energy minimization and mutual information, Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on, pp.1033-1040, 2003.

T. Kim, S. Nowozin, P. Kohli, and C. Yoo, Variable grouping for energy minimization, CVPR 2011, pp.1913-1920, 2011.
DOI : 10.1109/CVPR.2011.5995645

A. Klaus, M. Sormann, and K. Karner, Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure, 18th International Conference on Pattern Recognition (ICPR'06), pp.15-18, 2006.
DOI : 10.1109/ICPR.2006.1033

V. Kolmogorov, Convergent tree-reweighted message passing for energy minimization. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.10, pp.1568-1583, 2006.
DOI : 10.1109/tpami.2006.200
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.2409

V. Kolmogorov and R. Zabih, Computing visual correspondence with occlusions using graph cuts, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.508-515, 2001.
DOI : 10.1109/ICCV.2001.937668
URL : http://ce.sharif.edu/~elno/disparitymap/Papers/KZ-ICCV01.pdf

N. Komodakis, Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization, Lecture Notes in Computer Science, vol.6312, pp.520-534, 2010.
DOI : 10.1007/978-3-642-15552-9_38

N. Komodakis and N. Paragios, Beyond pairwise energies: Efficient optimization for higher-order mrfs. In: Computer Vision and Pattern Recognition, CVPR 2009. IEEE Conference on, pp.2985-2992, 2009.

N. Komodakis and G. Tziritas, Approximate labeling via graph cuts based on linear programming. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.29, issue.8, pp.1436-1453, 2007.

N. Komodakis, N. Paragios, and G. Tziritas, Mrf optimization via dual decomposition: Message-passing revisited. In: Computer Vision, IEEE 11th International Conference on, pp.1-8, 2007.
DOI : 10.1109/iccv.2007.4408890
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.3345

N. Komodakis, G. Tziritas, and N. Paragios, Fast, Approximately Optimal Solutions for Single and Dynamic MRFs, 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2007.
DOI : 10.1109/CVPR.2007.383095

Z. Li, Q. Zhu, and C. M. Gold, Digital terrain modeling principles and methodology, 2005.

M. Pierrot-deseilligny and N. Paparoditis, A multiresolution and optimization-based image matching approach: An application to surface reconstruction from spot5-hrs stereo imagery, Proc. of the ISPRS Conference Topographic Mapping From Space (With Special Emphasis on Small Satellites), ISPRS, 2006.

D. Scharstein, R. Szeliski, and R. Zabih, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.131-140, 2001.
DOI : 10.1109/SMBV.2001.988771

D. Sun, S. Roth, and M. Black, Secrets of optical flow estimation and their principles, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.2432-2439, 2010.
DOI : 10.1109/CVPR.2010.5539939

R. Szeliski, R. Zabih, D. Scharstein, O. Veksler, V. Kolmogorov et al., A comparative study of energy minimization methods for markov random fields with smoothness-based priors. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.30, issue.6, pp.1068-1080, 2008.

F. Tombari, S. Mattoccia, D. Stefano, L. Addimanda, and E. , Classification and evaluation of cost aggregation methods for stereo correspondence, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008.
DOI : 10.1109/CVPR.2008.4587677

P. Viola and W. Wells, Alignment by maximization of mutual information, Proceedings of IEEE International Conference on Computer Vision, pp.16-23, 1995.
DOI : 10.1109/ICCV.1995.466930

Z. Zhang, Determining the epipolar geometry and its uncertainty: A review, International Journal of Computer Vision, vol.27, issue.2, pp.161-195, 1998.
DOI : 10.1023/A:1007941100561
URL : https://hal.archives-ouvertes.fr/inria-00073771