A. Bronstein, M. Bronstein, and R. Kimmel, Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching, Proceedings of the National Academy of Sciences, vol.103, issue.5, pp.1168-1172, 2006.
DOI : 10.1073/pnas.0508601103

J. P. Pons, R. Keriven, and O. Faugeras, Multi-View Stereo Reconstruction and Scene Flow Estimation with a Global Image-Based Matching Score, International Journal of Computer Vision, vol.24, issue.2, pp.179-193, 2007.
DOI : 10.1007/s11263-006-8671-5

N. Gelfand, N. J. Mitra, L. J. Guibas, and H. Pottmann, Robust global registration, Eurographics Association, pp.197-206, 2005.

S. Belongie, J. Malik, and J. Puzicha, Shape matching and object recognition using shape contexts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.4, pp.509-522, 2002.
DOI : 10.1109/34.993558

B. Amberg, S. Romdhani, and T. Vetter, Optimal Step Nonrigid ICP Algorithms for Surface Registration, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383165

B. Brown and S. Rusinkiewicz, Global non-rigid alignment of 3-D scans, Proc. SIGGRAPH), 2007.

A. Elad and R. Kimmel, On bending invariant signatures for surfaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.10, p.12851295, 2003.
DOI : 10.1109/TPAMI.2003.1233902

A. Bronstein, M. Bronstein, and R. Kimmel, Efficient computation of isometryinvariant distances between surfaces, In: SIAM J. Sci. Comput, vol.28, 2006.

Y. Furukawa and J. Ponce, Dense 3D Motion Capture from Synchronized Video Streams, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
DOI : 10.1007/978-3-642-12392-4_9

F. Huguet and F. Devernay, A Variational Method for Scene Flow Estimation from Stereo Sequences, 2007 IEEE 11th International Conference on Computer Vision, pp.1-7, 2007.
DOI : 10.1109/ICCV.2007.4409000
URL : https://hal.archives-ouvertes.fr/inria-00166589

J. Starck and A. Hilton, Correspondence labelling for wide-timeframe free-form surface matching, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409108

J. Starck and A. Hilton, Spherical matching for temporal correspondence of non-rigid surfaces, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, pp.1387-1394, 2005.
DOI : 10.1109/ICCV.2005.229

N. Ahmed, C. Theobalt, C. Roessl, and S. Thrun, Seidel: Dense correspondence finding for parametrization-free animation reconstruction from video, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

K. Varanasi, A. Zaharescu, E. Boyer, and R. Horaud, Temporal Surface Tracking Using Mesh Evolution, Proceedings of the Tenth European Conference on Computer Vision. Volume Part II of LNCS, pp.30-43, 2008.
DOI : 10.1007/978-3-540-88688-4_3
URL : https://hal.archives-ouvertes.fr/inria-00590255

R. Keriven and O. Faugeras, Complete dense stereovision using level set methods, 5th European Conference on Computer Vision, 1998.

C. Alì-ene, J. P. Pons, and R. Keriven, Seamless image-based texture atlases using multi-band blending, 19th International Conference on Pattern Recognition, 2008.

J. A. Sethian, Fast Marching Methods, SIAM Review, vol.41, issue.2, pp.199-235, 1999.
DOI : 10.1137/S0036144598347059

R. Kimmel and J. Sethian, Computing geodesic paths on manifolds, Proceedings of the National Academy of Sciences, vol.95, issue.15, 1998.
DOI : 10.1073/pnas.95.15.8431

M. Bronstein, A. Bronstein, and R. Kimmel, Efficient computation of isometryinvariant distances between surfaces, 2006.

C. Moenning and N. A. Dodgson, Fast marching farthest point sampling, In: Euro- Graphics, 2003.

J. Starck and A. Hilton, Surface Capture for Performance-Based Animation, IEEE Computer Graphics and Applications, vol.27, issue.3, pp.21-31, 2007.
DOI : 10.1109/MCG.2007.68

A. Bronstein, M. Bronstein, R. Kimmel, M. Mahmoudi, and G. Sapiro, A gromovhausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching, International Journal of Computer Vision (IJCV)

H. Vu, R. Keriven, P. Labatut, and J. Pons, Towards high-resolution largescale multi-view stereo, Conference on Computer Vision and Pattern Recognition(CVPR ), 2009.
URL : https://hal.archives-ouvertes.fr/hal-00834903