B. [. Allen, Z. Curless, ]. D. Popovi´cpopovi´camco08, N. J. Aiger, D. Mitra et al., The space of human body shapes, Proc. SIGGRAPH 2008)ASK + 05] Proc. CVPR, pp.587-5941, 2003.
DOI : 10.1145/882262.882311

A. Bronstein, R. Bronstein, M. Kimmel, M. Bronstein, B. Bustos et al., Numerical geometry of non-rigid shapes, The Author, 2007.
DOI : 10.1007/978-0-387-73301-2

V. Murino and M. Ovsjanikov, SHREC 2010: robust feature detection and description benchmark Embedding riemannian manifolds by their heat kernel Generalized multidimensional scaling: a framework for isometryinvariant partial surface matching, Proc. 3DOR Proc. Natl. Acad. Sci, pp.373-3981168, 1994.

N. Bell and M. Garland, Efficient sparse matrix-vector multiplication on CUDA, 2008.

M. Belkin, J. Sun, Y. Wangbu83-]-s, H. Bando, S. Urakawa et al., Discrete Laplace operator on meshed surfaces Generic properties of the eigenvalue of the Laplacian for compact Riemannian manifolds A hierarchical segmentation of articulated bodies, Proc. SOCG. Aanaes, and R. Larsen. Shape Analysis Using the Auto Diffusion Function. Comp. Graph. Forum, pp.278-287155, 1976.

A. Grigor-'yan, Escape rate of brownian motion on riemanian manifolds, Applicable Analysis, vol.26, issue.1-4, pp.63-89, 1999.
DOI : 10.1007/BF01199032

A. Grigor-'yan-huang, B. Adams, M. Wicke, and L. J. Guibas, Non-rigid registration under isometric deformations, Contemporaty Mathematics Comput. Graph. Forum (Proc. SGP, vol.398, issue.5, pp.93-193, 2006.

E. Hsu-jones, M. Maggioni, R. Schuljzvk07, ]. V. Jain, H. Zhang et al., Stochastic Analysis on Manifolds Universal local parametrizations via heat kernels and eigenfunctions of the laplacian Non-rigid spectral correspondence of triangle meshes Geometric modeling in shape space, Ann. Acad. Scient. Fen. International Journal on Shape Modeling ACM TOG, vol.35, issue.26, pp.1-44101, 2002.

Y. Lipman, T. Funkhouser, . Lipman, D. Sorkine, D. Levin et al., Möbius voting for surface correspondence Linear rotation-invariant coordinates for meshes Global correspondence optimization for non-rigid registration of depth scans, LTSW09] R. Lasowski, A. Tevs, H.-P. Seidel, and M. Wand. A probabilistic framework for partial intrinsic symmetries in geometric data Proc. ICCV, pp.72479-487, 2005.

. M. Ma-]-d, S. Mount, and . Arya, ANN: A library for approximate nearest neighbor searching. http://www.cs.umd Discrete differential-geometry operators for triangulated 2-manifolds. Visualization and mathematics, 2002.

F. Mémoli, D. Mateus, R. Horaud, D. Knossow, F. Cuzzolin et al., A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data, Proc. NORDIA Proc. CVPR, pp.313-347, 2005.
DOI : 10.1007/s10208-004-0145-y

M. Ovsjanikov, J. Sun, and L. Guibas, Global Intrinsic Symmetries of Shapes, Computer Graphics Forum, vol.27, issue.2, pp.1341-1348, 2008.
DOI : 10.1111/j.1467-8659.2008.01273.x

M. Reuter, M. Reuter, F. Wolter, and N. Peinecke, Hierarchical shape segmentation and registration via topological features of laplace-beltrami eigenfunctions Laplace- Beltrami spectra as "Shape-DNA" of surfaces and solids, Proc. IJCV, pp.287-308342, 2006.

A. Singh, D. Goldgof, D. B. Terzopoulossid98-]-r, and . Sidje, Deformable Models in Medical Image Analysis Expokit: a software package for computing matrix exponentials, ACM Trans. Math. Softw, vol.24, issue.1, 1998.

J. Sun, M. Ovsjanikov, and L. Guibas, A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion Isometric registration of ambiguous and partial data, Proc. CVPR Gotsman. A multiresolution approach to heat kernels on discrete surfaces. Proc. SIGGRAPH, p.2010, 2009.

I. [. Vlasic, W. Baran, J. Matusik, and . Popovi´cpopovi´c, Articulated mesh animation from multi-view silhouettes, ACM Trans. Graph, vol.27, issue.3, 2008.
DOI : 10.1145/1399504.1360696

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.4026

M. Wand, P. Jenke, Q. Huang, M. Bokeloh, L. Guibas et al., Reconstruction of deforming geometry from time-varying point clouds, Proc. SGP, pp.49-58, 2007.

J. Haim, I. Wolfson, H. Rigoutsos, A. Zhang, D. Sheffer et al., Geometric hashing: An overview Deformation-driven shape correspondence, IEEE Comput. Sci. Eng. Comp. Graph. Forum, vol.4, issue.45, pp.10-21, 1997.