Y. Aflalo, A. Dubrovina, and R. Kimmel, Spectral generalized multi-dimensional scaling, International Journal of Computer Vision, vol.118, pp.380-392, 2016.

Y. Aflalo and R. Kimmel, Spectral multidimensional scaling, PNAS, vol.110, pp.18052-18057, 2013.

D. Anguelov, P. Srinivasan, D. Koller, S. Thrun, J. Rodgers et al., SCAPE: Shape Completion and Animation of People, ACM Transactions on Graphics, vol.24, issue.3, pp.408-416, 2005.

M. Aubry, U. Schlickewei, and D. Cremers, The wave kernel signature: A quantum mechanical approach to shape analysis, Computer Vision Workshops (ICCV Workshops), pp.1626-1633, 2011.

M. Belkin, J. Sun, and Y. Wang, Constructing Laplace Operator from Point Clouds in Rd, Proc. Symposium on Discrete Algorithms (SODA, pp.1031-1040, 2009.

S. Biasotti, A. Cerri, A. Bronstein, and M. Bronstein, Recent trends, applications, and perspectives in 3D shape similarity assessment, Computer Graphics Forum, vol.35, pp.87-119, 2016.

F. Bogo, J. Romero, M. Loper, and M. J. Black, FAUST: Dataset and evaluation for 3D mesh registration, Proc. CVPR. IEEE, pp.3794-3801, 2014.

A. Bronstein, M. Bronstein, and R. Kimmel, Numerical Geometry of Non-Rigid Shapes, 2008.

O. Burghard, A. Dieckmann, and R. Klein, Embedding shapes with Green's functions for global shape matching, Computers & Graphics, vol.68, pp.1-10, 2017.

Q. Chen and V. Koltun, Robust Nonrigid Registration by Convex Optimization, International Conference on Computer Vision (ICCV), pp.2039-2047, 2015.

E. Corman, M. Ovsjanikov, and A. Chambolle, Continuous matching via vector field flow, Computer Graphics Forum, vol.34, pp.129-139, 2015.

L. Cosmo, E. Rodolà, M. Bronstein, A. Torsello, D. Cremers et al., Partial Matching of Deformable Shapes, Proceedings of the Eurographics 2016 Workshop on 3D Object Retrieval (3DOR '16). Eurographics Association, pp.61-67, 2016.

L. Cosmo, E. Rodolà, J. Masci, A. Torsello, and M. Bronstein, Matching deformable objects in clutter, Proc. 3D Vision (3DV, pp.1-10, 2016.

A. Dubrovina and R. Kimmel, Matching shapes by eigendecomposition of the Laplace-Beltrami operator, Proc. 3DPVT, vol.2, 2010.

A. Dubrovina and R. Kimmel, Approximately isometric shape correspondence by matching pointwise spectral features and global geodesic structures, Advances in Adaptive Data Analysis, vol.3, pp.203-228, 2011.

N. Dym and Y. Lipman, Exact recovery with symmetries for Procrustes matching, SIAM Journal on Optimization, vol.27, pp.1513-1530, 2017.

D. Ezuz and M. Ben-chen, Deblurring and Denoising of Maps between Shapes, Computer Graphics Forum, vol.36, pp.165-174, 2017.

D. Ezuz, J. Solomon, and M. Ben-chen, Reversible Harmonic Maps Between Discrete Surfaces, ACM Trans. Graph, vol.38, p.12, 2019.

A. Gehre, M. Bronstein, L. Kobbelt, and J. Solomon, Interactive curve constrained functional maps, Computer Graphics Forum, vol.37, pp.1-12, 2018.

P. Gunz and P. Mitteroecker, Semilandmarks: a method for quantifying curves and surfaces, Hystrix, the Italian Journal of Mammalogy, vol.24, pp.103-109, 2013.

Q. Huang, F. Wang, and L. Guibas, Functional map networks for analyzing and exploring large shape collections, ACM Transactions on Graphics (TOG), vol.33, p.36, 2014.

R. Huang and M. Ovsjanikov, Adjoint Map Representation for Shape Analysis and Matching, Computer Graphics Forum, vol.36, pp.151-163, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01741932

A. Jacobson, gptoolbox: Geometry Processing Toolbox, 2018.

V. Jain and H. Zhang, Robust 3D shape correspondence in the spectral domain, Shape Modeling and Applications, 2006. SMI 2006. IEEE International Conference on. IEEE, pp.19-19, 2006.

V. Jain, H. Zhang, and O. Van-kaick, Non-rigid spectral correspondence of triangle meshes, International Journal of Shape Modeling, vol.13, pp.101-124, 2007.

M. Kilian, J. Niloy, H. Mitra, and . Pottmann, Geometric modeling in shape space, In ACM Transactions on Graphics (TOG), vol.26, p.64, 2007.

G. Vladimir, Y. Kim, T. Lipman, and . Funkhouser, Blended intrinsic maps, In ACM Transactions on Graphics (TOG), vol.30, p.79, 2011.

A. Kovnatsky, M. Bronstein, A. Bronstein, K. Glashoff, and R. Kimmel, Coupled quasi-harmonic bases, Computer Graphics Forum, vol.32, pp.439-448, 2013.

A. Kovnatsky, K. Glashoff, and M. M. Bronstein, MADMM: a generic algorithm for non-smooth optimization on manifolds, European Conference on Computer Vision, pp.680-696, 2016.

Z. Lähner, E. Rodolà, M. Bronstein, D. Cremers, O. Burghard et al., Matching of Deformable Shapes with Topological Noise, Proc. 3DOR. 55-60. Or Litany, Emanuele Rodolà, Alex Bronstein, and Michael Bronstein, vol.36, pp.247-258, 2016.

M. Loper, N. Mahmood, J. Romero, G. Pons-moll, and M. J. Black, SMPL: A Skinned Multi-person Linear Model, TOG, vol.34, p.16, 2015.

M. Mandad, D. Cohen-steiner, L. Kobbelt, P. Alliez, and M. Desbrun, Variance-Minimizing Transport Plans for Inter-surface Mapping, ACM Transactions on Graphics, vol.36, p.14, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01519006

R. Marin, S. Melzi, E. Rodolà, and U. Castellani, FARM: Functional Automatic Registration Method for 3D Human Bodies, 2018.

N. Haggai-maron, I. Dym, S. Kezurer, Y. Kovalsky, and . Lipman, Point registration via efficient convex relaxation, ACM Transactions on Graphics (TOG), vol.35, p.73, 2016.

D. Mateus, R. Horaud, D. Knossow, F. Cuzzolin, and E. Boyer, Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration, Proc. CVPR, pp.1-8, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00590251

S. Melzi, R. Marin, E. Rodolà, U. Castellani, J. Ren et al., Eurographics Workshop on 3D Object Retrieval. The Eurographics Association, 2019.

S. Melzi, E. Rodolà, U. Castellani, and M. Bronstein, Shape Analysis with Anisotropic Windowed Fourier Transform, International Conference on 3D Vision (3DV), 2016.

S. Melzi, E. Rodolà, U. Castellani, and M. Bronstein, Localized Manifold Harmonics for Spectral Shape Analysis, Computer Graphics Forum, vol.37, pp.20-34, 2018.

M. Muja and D. G. Lowe, Scalable Nearest Neighbor Algorithms for High Dimensional Data. Pattern Analysis and Machine Intelligence, IEEE Transactions on, p.36, 2014.

R. Nagar and S. Raman, Fast and Accurate Intrinsic Symmetry Detection, The European Conference on Computer Vision (ECCV), 2018.

D. Nogneng, S. Melzi, E. Rodolà, U. Castellani, M. Bronstein et al., Improved Functional Mappings via Product Preservation, Computer Graphics Forum, vol.37, pp.179-190, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01741750

D. Nogneng and M. Ovsjanikov, Informative Descriptor Preservation via Commutativity for Shape Matching, Computer Graphics Forum, vol.36, issue.2, pp.259-267, 2017.

M. Ovsjanikov, M. Ben-chen, J. Solomon, A. Butscher, and L. Guibas, Functional maps: a flexible representation of maps between shapes, ACM Transactions on Graphics (TOG), vol.31, p.11, 2012.

M. Ovsjanikov, E. Corman, M. Bronstein, E. Rodolà, M. Benchen et al., Frederic Chazal, and Alex Bronstein. 2017. Computing and Processing Correspondences with Functional Maps, ACM SIGGRAPH 2017

, Courses. Article, vol.5, pp.1-5

M. Ovsjanikov, Q. Merigot, F. Memoli, and L. Guibas, One Point Isometric Matching with the Heat Kernel, CGF, vol.29, pp.1555-1564, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00543885

U. Pinkall and K. Polthier, Computing Discrete Minimal Surfaces and their Conjugates, Experimental mathematics, vol.2, pp.15-36, 1993.

A. Poulenard, P. Skraba, and M. Ovsjanikov, Topological Function Optimization for Continuous Shape Matching, Computer Graphics Forum, vol.37, pp.13-25, 2018.

J. Ren, A. Poulenard, P. Wonka, and M. Ovsjanikov, Continuous and Orientation-preserving Correspondences via Functional Maps, ACM Transactions on Graphics (TOG), vol.37, p.6, 2018.

E. Rodolà, L. Cosmo, M. Bronstein, A. Torsello, and D. Cremers, Partial functional correspondence, Computer Graphics Forum, vol.36, pp.222-236, 2017.

E. Rodolà, M. Moeller, and D. Cremers, Point-wise Map Recovery and Refinement from Functional Correspondence, Proc. Vision, Modeling and Visualization (VMV), 2015.

E. Rodolà, S. R. Bulò, T. Windheuser, M. Vestner, and D. Cremers, Dense non-rigid shape correspondence using random forests, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.4177-4184, 2014.

J. Roufosse, A. Sharma, and M. Ovsjanikov, Unsupervised Deep Learning for Structured Shape Matching, 2018.

M. Raif-m-rustamov, O. Ovsjanikov, M. Azencot, F. Ben-chen, L. Chazal et al., Map-based exploration of intrinsic shape differences and variability, ACM Transactions on Graphics (TOG), vol.32, p.72, 2013.

Y. Sahillio?lu and Y. Yemez, Minimum-distortion isometric shape correspondence using EM algorithm, vol.34, pp.2203-2215, 2012.

L. Guy and H. Scott, An algorithm for associating the features of two images, Proc. R. Soc. Lond. B, vol.244, pp.21-26, 1991.

M. Shoham, A. Vaxman, and M. Ben-chen, Hierarchical Functional Maps between Subdivision Surfaces, Computer Graphics Forum, 2019.

J. Solomon, G. Peyré, G. Vladimir, S. Kim, and . Sra, Entropic metric alignment for correspondence problems, ACM Transactions on Graphics (TOG), vol.35, p.72, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01305808

J. Sun, M. Ovsjanikov, and L. Guibas, A concise and provably informative multi-scale signature based on heat diffusion, Computer graphics forum, vol.28, pp.1383-1392, 2009.

K. L. Gary, Z. Tam, Y. Cheng, . Lai, Y. Frank-c-langbein et al., Registration of 3D point clouds and meshes: a survey from rigid to nonrigid, IEEE TVCG, vol.19, pp.1199-1217, 2013.

F. Tombari, S. Salti, and L. D. Stefano, Unique signatures of histograms for local surface description, Proc. ECCV, pp.356-369, 2010.

S. Umeyama, An eigendecomposition approach to weighted graph matching problems, vol.10, pp.695-703, 1988.

H. Oliver-van-kaick, G. Zhang, D. Hamarneh, and . Cohen-or, A survey on shape correspondence, Computer Graphics Forum, vol.30, pp.1681-1707, 2011.

M. Vestner, Z. Lähner, A. Boyarski, O. Litany, R. Slossberg et al., Efficient deformable shape correspondence via kernel matching, 2017 International Conference on. IEEE, pp.517-526, 2017.

M. Vestner, R. Litman, E. Rodolà, A. Bronstein, and D. Cremers, Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space, Proc. CVPR, pp.6681-6690, 2017.

F. Wang, Q. Huang, and L. J. Guibas, Image Co-segmentation via Consistent Functional Maps, Proc. ICCV, pp.849-856, 2013.

H. Wang and H. Huang, Group representation of global intrinsic symmetries, Computer Graphics Forum, vol.36, pp.51-61, 2017.

L. Wang, A. Gehre, M. Bronstein, and J. Solomon, Kernel Functional Maps, Computer Graphics Forum, vol.37, pp.27-36, 2018.

L. Wang and A. Singer, Exact and stable recovery of rotations for robust synchronization, Journal of the IMA, vol.2, issue.2, pp.145-193, 2013.

Y. Wang, K. Liu, Y. Zhou, and . Tong, Vector Field Map Representation for Near Conformal Surface Correspondence, Computer Graphics Forum, vol.37, pp.72-83, 2018.