L. Alvarez, R. Deriche, J. Sanchez, and J. Weickert, Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach, Journal of Visual Communication and Image Representation, vol.13, issue.1-2, 2000.
DOI : 10.1006/jvci.2001.0482
URL : https://hal.archives-ouvertes.fr/inria-00072780

L. Alvarez, R. Deriche, J. Sanchez, and J. Weickert, Dense Disparity Map Estimation Respecting Image Discontinuities: A PDE and Scale-Space Based Approach, Journal of Visual Communication and Image Representation, vol.13, issue.1-2, pp.3-21, 2002.
DOI : 10.1006/jvci.2001.0482
URL : https://hal.archives-ouvertes.fr/inria-00072780

A. Amir, T. E. Amini, R. C. Weymouth, and . Jain, Using dynamic programming for solving variational problems in vision, pp.855-867, 1990.

D. Bachmann, Modélisation physique tridimensionnelle des mouvements gravitaires de grande ampleur en milieu rocheux, 2007.

S. Baker, S. Roth, D. Scharstein, M. J. Black, J. P. Lewis et al., A database and evaluation methodology for optical flow, ICCV07, pp.1-8, 2007.

J. L. Barron, D. J. Fleet, S. S. Beauchemin, and T. A. Burkitt, Performance of optical flow techniques, Proc. IEEE CVPR, pp.236-242, 1992.

B. Galvin, B. Mccane, K. Novins, D. Mason, and S. Mills, Recovering Motion Fields: An Evaluation of Eight Optical Flow Algorithms, Procedings of the British Machine Vision Conference 1998, p.xx?yy, 1998.
DOI : 10.5244/C.12.20

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

Y. Boykov and V. Kolmogorov, An experimental comparison of mincut/max-flow algorithms for energy minimization in vision, Energy Minimization Methods in Computer Vision and Pattern Recognition, pp.359-374, 2001.

Y. Y. Boykov and O. Veksler, Graph Cuts in Vision and Graphics: Theories and Applications, MMCV05, pp.79-96, 2005.
DOI : 10.1007/0-387-28831-7_5

W. L. Briggs, S. F. Van-emden-henson, and . Mccormick, A multigrid tutorial : second edition, Society for Industrial and Applied Mathematics, 2000.
DOI : 10.1137/1.9780898719505

A. Brox, N. Bruhn, J. Papenberg, and T. Weickert, High Accuracy Optical Flow Estimation Based on a Theory for Warping, Proc. 8th ECCV, pp.25-36, 2004.
DOI : 10.1007/978-3-540-24673-2_3

A. Bruhn, J. Weickert, C. Feddern, T. Kohlberger, and C. Schnorr, Real-Time Optic Flow Computation with Variational Methods, CAIP03, pp.222-229, 2003.
DOI : 10.1007/978-3-540-45179-2_28

A. Bruhn, J. Weickert, C. Feddern, T. Kohlberger, and C. Schnorr, Variational optical flow computation in real time, IEEE Transactions on Image Processing, vol.14, issue.5, pp.608-615, 2005.
DOI : 10.1109/TIP.2005.846018

A. Bruhn, J. Weickert, T. Kohlberger, and C. Schnorr, Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time, ScaleSpace05, pp.279-290, 2005.
DOI : 10.1007/11408031_24

A. Bruhn, J. Weickert, C. Feddern, T. Kohlberger, and C. Schnörr, Variational optical flow computation in real time, IEEE Transactions on Image Processing, vol.14, issue.5, pp.608-615, 2005.
DOI : 10.1109/TIP.2005.846018

A. Bruhn, J. Weickert, T. Kohlberger, and C. Schnörr, A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods, International Journal of Computer Vision, vol.44, issue.2, pp.257-277, 2006.
DOI : 10.1007/s11263-006-6616-7

A. Brunton, C. Shu, and G. Roth, Belief Propagation on the GPU for Stereo Vision, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), p.76, 2006.
DOI : 10.1109/CRV.2006.19

L. Buatois, G. Caumon, and B. Lévy, Concurrent Number Cruncher: An Efficient Sparse Linear Solver on the GPU, High Performance Computation Conference (HPCC-07), pp.358-371, 2007.
DOI : 10.1007/978-3-540-75444-2_37
URL : https://hal.archives-ouvertes.fr/inria-00186833

F. Cappa, Apports de la modélisation numérique 2d à la compréhension du comportement hydro-mécanique couplé d'un grand versant rocheux instable. application au glissement de terrain de la clapière (alpes-maritimes) Master's thesis, UFR Sciences et Techniques de Franche-Comté, 2001.

R. L. Carceroni and K. N. Kutulakos, Multi-view scene capture by surfel sampling: from video streams to non-rigid 3D motion, shape and reflectance, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.175-214, 2002.
DOI : 10.1109/ICCV.2001.937603

V. Caselles, R. Kimmel, and G. Sapiro, Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997.
DOI : 10.1109/ICCV.1995.466871

R. Deriche and O. Faugeras, Les EDP en traitement des images et vision par ordinateur, 1997.
URL : https://hal.archives-ouvertes.fr/inria-00073993

R. Deriche, P. Kornprobst, and G. Aubert, Optical-flow estimation while preserving its discontinuities: A variational approach, Proc. ACCV, pp.71-80, 1995.
DOI : 10.1007/3-540-60793-5_63

F. Devernay, Vision stéréoscopique et propriétés différentielles, 1997.

O. Faugeras and R. Keriven, Variational principles, surface evolution, PDEs, level set methods, and the stereo problem, IEEE Transactions on Image Processing, vol.7, issue.3, pp.336-344, 1998.
DOI : 10.1109/83.661183

F. Pedro, D. P. Felzenszwalb, and . Huttenlocher, Efficient belief propagation for early vision, International Journal of Computer Vision, vol.70, issue.1, 2006.

P. Gargallo, E. Prados, and P. Sturm, Minimizing the Reprojection Error in Surface Reconstruction from Images, 2007 IEEE 11th International Conference on Computer Vision, p.7, 2007.
DOI : 10.1109/ICCV.2007.4409003
URL : https://hal.archives-ouvertes.fr/inria-00266287

V. Andrew, R. E. Goldberg, and . Tarjan, A new approach to the maximum-flow problem, J. ACM, vol.35, issue.4, pp.921-940, 1988.

M. Gong and Y. Yang, Disparity flow estimation using orthogonal reliability-based dynamic programming, Proc. 18th ICPR, pp.70-73, 2006.

H. Grossauer and P. Thoman, GPU-Based Multigrid: Real-Time Performance in High Resolution Nonlinear Image Processing, CVS08, p.xx?yy, 2008.
DOI : 10.1007/978-3-540-79547-6_14

D. Hoiem, A. N. Stein, A. A. Efros, and M. Hebert, Recovering Occlusion Boundaries from a Single Image, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4408985

S. Ince and J. Konrad, Occlusion-Aware Optical Flow Estimation, IEEE Transactions on Image Processing, vol.17, issue.8, pp.1443-1451, 2008.
DOI : 10.1109/TIP.2008.925381

M. Isard and J. P. Maccormick, Dense Motion and Disparity Estimation Via Loopy Belief Propagation, ACCV06, pages II, pp.32-41, 2006.
DOI : 10.1007/11612704_4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.512.1723

H. Ishikawa and D. Geiger, Occlusions, discontinuities, and epipolar lines in stereo, ECCV '98 : Proceedings of the 5th European Conference on Computer Vision-Volume I, pp.232-248, 1998.
DOI : 10.1007/BFb0055670

M. Kass, A. P. Witkin, and D. Terzopoulos, Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1988.
DOI : 10.1007/BF00133570

H. S. Kim and K. H. Sohn, Hierarchical disparity estimation with energy-based regularization, ICIP03, pages I, pp.373-376, 2003.

J. J. Koenderink and A. J. Van-doorn, Geometry of binocular vision and a model for stereopsis, Biological Cybernetics, vol.8, issue.1, 1976.
DOI : 10.1007/BF00326670

T. Kohlberger, C. Schnorr, A. Bruhn, and J. Weickert, Domain Decomposition for Parallel Variational Optical Flow Computation, DAGM03, pp.196-203, 2003.
DOI : 10.1007/978-3-540-45243-0_26

V. Kolmogorov and R. Zabih, Multi-camera Scene Reconstruction via Graph Cuts, ECCV '02 : Proceedings of the 7th European Conference on Computer Vision-Part III, pp.82-96, 2002.
DOI : 10.1007/3-540-47977-5_6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.8999

P. Kornprobst, Contributions à la restauration d'Images et à l'analyse de séquences : Approches Variationnelles et solutions de viscosité, 1998.

M. Lefébure and L. D. Cohen, Image Registration, Optical Flow, and Local Rigidity, J. Math. Imaging Vis, vol.14, issue.2, pp.131-147, 2001.
DOI : 10.1007/3-540-47778-0_3

A. Mansouri, A. Mitiche, and J. Konrad, Selective image diffusion: application to disparity estimation, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), pp.284-288, 1998.
DOI : 10.1109/ICIP.1998.999019

D. Min and K. Sohn, Edge-preserving simultaneous joint motion-disparity estimation, ICPR06, pages II, pp.74-77, 2006.

A. Mitiche and P. Bouthemy, Computation and analysis of image motion: A synopsis of current problems and methods, International Journal of Computer Vision, vol.7, issue.4, pp.29-55, 1996.
DOI : 10.1007/BF00131147

N. Nandhakumar and J. K. Aggarwal, On the computation of motion from sequences of images : A review, Univ. of Texas, 1988.

J. Neumann and Y. Aloimonos, Spatio-temporal stereo using multi-resolution subdivision surfaces Stereo and Multi-Baseline Vision, 2001.

M. Otte and H. Nagel, Optical flow estimation: Advances and comparisons, ECCV '94 : Proceedings of the third European conference on Computer vision, pp.51-60, 1994.
DOI : 10.1007/3-540-57956-7_5

N. Papadakis, T. Corpetti, and E. Memin, Dynamically consistent optical flow estimation, 2007 IEEE 11th International Conference on Computer Vision, pp.1-7, 2007.
DOI : 10.1109/ICCV.2007.4408889
URL : https://hal.archives-ouvertes.fr/hal-00596200

N. Papadakis, P. Héas, and E. Mémin, Memin image assimilation for motion estimation of atmospheric layers with shallow-water model, 8th Asian Conference on Computer Vision (ACCV 07), 2007.

N. Papenberg, A. Bruhn, T. Brox, S. Didas, and J. Weickert, Highly Accurate Optic Flow Computation with Theoretically Justified Warping, International Journal of Computer Vision, vol.14, issue.3, pp.141-158, 2006.
DOI : 10.1007/s11263-005-3960-y

K. Pauwels and M. M. Van-hulle, Realtime phase-based optical flow on the GPU, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.
DOI : 10.1109/CVPRW.2008.4563090

J. Pons, G. Hermosillo, R. Keriven, and O. Faugeras, Maintaining the point correspondence in the level set framework, Journal of Computational Physics, vol.220, issue.1, pp.339-354
DOI : 10.1016/j.jcp.2006.05.036

J. Pons, R. Keriven, and O. Faugeras, Modelling Dynamic Scenes by Registering Multi-View Image Sequences, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.822-827, 2005.
DOI : 10.1109/CVPR.2005.227
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.7870

L. Robert and R. Deriche, Dense depth map reconstruction: A minimization and regularization approach which preserves discontinuities, ECCV96, pages I, pp.439-451, 1996.
DOI : 10.1007/BFb0015556

S. Roy and I. J. Cox, A maximum-flow formulation of the N-camera stereo correspondence problem, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), p.492, 1998.
DOI : 10.1109/ICCV.1998.710763

D. Scharstein and R. Szeliski, Stereo matching with nonlinear diffusion, International Journal of Computer Vision, vol.28, issue.2, pp.155-174, 1998.
DOI : 10.1023/A:1008015117424

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense twoframe stereo correspondence algorithms, International Journal of Computer Vision, vol.47, issue.1/3, pp.7-42, 2002.
DOI : 10.1023/A:1014573219977

J. A. Sethian, Level Set Methods and Fast Marching Methods, Includes bibliographical references and index, 1999.

S. N. Sinha, P. Mordohai, and M. Pollefeys, Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh, 2007 IEEE 11th International Conference on Computer Vision, pp.1-8, 2007.
DOI : 10.1109/ICCV.2007.4408997

N. Slesareva, A. Bruhn, and J. Weickert, Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps, DAGM05, p.33, 2005.
DOI : 10.1007/11550518_5

C. Stiller, J. Konrad, and R. Bosch, Estimating motion in image sequences, IEEE Signal Processing Magazine, vol.16, issue.4, pp.70-91, 1999.
DOI : 10.1109/79.774934

C. Strecha, R. Fransens, and L. J. Van-gool, Wide-baseline stereo from multiple views: a probabilistic account, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., pp.552-559, 2004.
DOI : 10.1109/CVPR.2004.1315080

C. Strecha, T. Tuytelaars, and L. Van-gool, Dense matching of multiple wide-baseline views, Proceedings Ninth IEEE International Conference on Computer Vision, p.1194, 2003.
DOI : 10.1109/ICCV.2003.1238627

C. Strecha, R. Fransens, and L. J. Van-gool, A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection, ECCV Workshop SMVP, pp.71-82, 2004.
DOI : 10.1006/cviu.2001.0930

J. Sun, N. Zheng, and H. Shum, Stereo Matching Using Belief Propagation, IEEE Trans. Pattern Anal. Mach. Intell, vol.25, issue.7, pp.787-800, 2003.
DOI : 10.1007/3-540-47967-8_34
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.221.2039

S. Vedula and S. Baker, Three-dimensional scene flow, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.3, pp.475-480, 2005.
DOI : 10.1109/TPAMI.2005.63

S. Vedula, S. Baker, P. Rander, R. Collins, and T. Kanade, Three-dimensional scene flow, Proc. IEEE ICCV, pp.722-729, 1999.
DOI : 10.1109/iccv.1999.790293
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.3563

D. Terzopoulos, Regularization of Inverse Visual Problems Involving Discontinuities, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.8, issue.4, 1986.
DOI : 10.1109/TPAMI.1986.4767807

A. Tikhonov and V. Arsenine, Méthodes de résolution de problèmes mal posés, 1977.

V. Vineet and P. J. Narayanan, CUDA cuts: Fast graph cuts on the GPU, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.
DOI : 10.1109/CVPRW.2008.4563095

A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke et al., Efficient Dense Scene Flow from Sparse or Dense Stereo Data, ECCV08, pages I, pp.739-751, 2008.
DOI : 10.1007/978-3-540-88682-2_56

R. P. Wildes, Direct recovery of three-dimensional scene geometry from binocular stereo disparity. T-PAMI, pp.761-774, 1991.

O. Williams, M. Isard, and J. Maccormick, Estimating Disparity and Occlusions in Stereo Video Sequences, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.250-257, 2005.
DOI : 10.1109/CVPR.2005.146

Y. Zhang and C. Kambhamettu, Integrated 3D scene flow and structure recovery from multiview image sequences, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), pp.674-681, 2000.
DOI : 10.1109/CVPR.2000.854939