J. Aalo, A. M. Bronstein, M. M. Bronstein, and R. Kimmel, Deformable shape retrieval by learning diusion kernels, Proc. Scale Space and Variational Methods (SSVM), 2011.

M. Aubry, U. Schlickewei, and D. Cremers, The wave kernel signature-a quantum mechanical approach to shape analyis, Proc. CVPR, 2011.

M. Ben-chen, O. Weber, and C. Gotsman, Characterizing shape using conformal factors

A. Berg and J. Malik, Geometric blur for template matching, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990529

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.25.5471

A. M. Bronstein, Spectral descriptors for deformable shapes, 2011.

A. M. Bronstein, M. M. Bronstein, A. M. Bruckstein, and R. Kimmel, Analysis of twodimensional non-rigid shapes, IJCV, vol.78, issue.1, p.6788, 2008.

A. M. Bronstein, M. 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, p.11681172, 2006.
DOI : 10.1073/pnas.0508601103

A. M. Bronstein, M. M. Bronstein, M. Ovsjanikov, and L. J. Guibas, Shape google, Proc. NORDIA, 2009.
DOI : 10.1145/1899404.1899405

M. M. Bronstein and A. M. Bronstein, Shape Recognition with Spectral Distances, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.5, p.10651071, 2011.
DOI : 10.1109/TPAMI.2010.210

M. M. Bronstein and I. Kokkinos, Scale-invariant heat kernel signatures for non-rigid shape recognition, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5539838

URL : https://hal.archives-ouvertes.fr/hal-00859448

M. Brown, G. Hua, and S. Winder, Discriminative Learning of Local Image Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.1, p.4357, 2011.
DOI : 10.1109/TPAMI.2010.54

H. Cai, K. Mikolajczyk, and J. Matas, Learning Linear Discriminant Projections for Dimensionality Reduction of Image Descriptors, Procedings of the British Machine Vision Conference 2008, 2008.
DOI : 10.5244/C.22.51

D. Casasent and D. Psaltis, Position, rotation, and scale invariant optical correlation, Applied Optics, vol.15, issue.7, p.258261, 1976.
DOI : 10.1364/AO.15.001795

O. Chum, J. Philbin, J. Sivic, M. Isard, and A. Zisserman, Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408891

R. R. Coifman and S. Lafon, Diusion maps, Applied and Computational Harmonic Analysis, vol.21, p.530, 2006.

J. Digne, J. M. Morel, N. Audfray, and C. Mehdi-souzani, The Level Set Tree on Meshes, Proc. 3DPVT, 2010.

G. Dorkó and C. Schmid, Maximally Stable Local Description for Scale Selection, ECCV, 2006.
DOI : 10.1007/11744085_39

A. Elad and R. Kimmel, Bending invariant representations for surfaces, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, 2001.
DOI : 10.1109/CVPR.2001.990472

M. Felsberg and G. Sommer, The monogenic signal, IEEE Transactions on Signal Processing, vol.49, issue.12, p.31363144, 2001.
DOI : 10.1109/78.969520

M. S. Floater and K. Hormann, Surface parameterization: a tutorial and survey. Advances in Multiresolution for Geometric Modelling, 2005.

F. Fraundorfer, H. Stewénius, and D. Nistér, A Binning Scheme for Fast Hard Drive Based Image Search, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383174

B. Fulkerson, A. Vedaldi, and S. Soatto, Localizing Objects with Smart Dictionaries, Proc. ECCV, 2008.
DOI : 10.1007/978-3-540-88682-2_15

K. Gebal, J. A. Baerentzen, H. Aanaes, and R. Larsen, Shape analysis using the auto diusion function, In Computer Graphics Forum, vol.28, p.14051413, 2009.

N. Gelfand, N. J. Mitra, L. J. Guibas, and H. Pottmann, Robust global registration, Proc. SGP, 2005. [28] J. M. Geusebroek, A. W. M. Smeulders, and J. van de Weijer. Fast anisotropic gauss ltering, p.12938943, 2003.

G. Hua, M. Brown, and S. Winder, Discriminant Embedding for Local Image Descriptors, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4408857

Q. X. Huang, S. Flöry, N. Gelfand, M. Hofer, and H. Pottmann, Reassembling fractured objects by geometric matching, Trans. Graphics, vol.25, issue.3, p.569578, 2006.

H. Jégou, H. Harzallah, and C. Schmid, A contextual dissimilarity measure for accurate and ecient image search, Proc. CVPR, 2007.

T. Kadir and M. Brady, Saliency, scale and image description, IJCV, vol.45, issue.2, p.83105, 2001.

A. Kannan, N. Jojic, and B. J. Frey, Fast transformation-invariant factor analysis, Proc. NIPS, 2002.
DOI : 10.1007/s11263-007-0094-4

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.8553

M. Kazhdan, T. Funkhouser, and S. Rusinkiewicz, Rotation invariant spherical harmonic representation of 3D shape descriptors, Proc. SGP, 2003.

Y. Ke and R. Sukthankar, PCA-SIFT: A More Distinctive Representation for Local Image Descriptors, Proc. CVPR, 2004.

I. Kokkinos and A. Yuille, Scale invariance without scale selection, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587798

URL : https://hal.archives-ouvertes.fr/inria-00442619

A. Kovnatsky, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, Photometric Heat Kernel Signatures, Proc. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM), 2011.
DOI : 10.1007/978-3-642-24785-9_52

B. Lévy, Laplace-Beltrami Eigenfunctions Towards an Algorithm That "Understands" Geometry, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06), 2006.
DOI : 10.1109/SMI.2006.21

T. Lindeberg, Feature Detection with Automatic Scale Selection, IJCV, vol.30, issue.2, p.79116, 1998.

T. Lindeberg and L. Florack, Foveal scale-space and the linear increase of receptive feld size as a function of eccentricity, CVIU, vol.97, issue.2, p.209241, 1996.

H. Ling and D. Jacobs, Using the inner-distance for classication of articulated shapes, Proc. CVPR, 2005.

R. Litman, A. M. Bronstein, and M. M. Bronstein, Diusion-geometric maximally stable component detection in deformable shapes, Computers and Graphics, vol.35, issue.3, 2011.

D. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, p.91110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

M. Mahmoudi and G. Sapiro, Three-dimensional point cloud recognition via distributions of geometric distances, Graphical Models, vol.71, issue.1, p.2231, 2009.

S. Manay, B. W. Hong, A. J. Yezzi, and S. Soatto, Integral Invariant Signatures, Proc. ECCV, 2004.
DOI : 10.1007/978-3-540-24673-2_8

J. Matas, O. Chum, M. Urban, and T. Pajdla, Robust wide-baseline stereo from maximally stable extremal regions, Image and Vision Computing, vol.22, issue.10, p.761767, 2004.

F. Mémoli and G. Sapiro, A Theoretical and Computational Framework for Isometry Invariant Recognition of Point Cloud Data, Foundations of Computational Mathematics, vol.5, issue.3, p.313346, 2005.
DOI : 10.1007/s10208-004-0145-y

M. Meyer, M. Desbrun, P. Schroder, and A. H. Barr, Discrete dierential-geometry operators for triangulated 2-manifolds, Visualization and Mathematics III, p.3557, 2003.

K. Mikolajczyk and C. Schmid, Scale and Ane Invariant Interest Point Detectors, IJCV, vol.60, issue.1, 2004.

K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, Trans. PAMI, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00548227

K. Mikolajczyk, A. Zisserman, and C. Schmid, Shape recognition with edge-based features, Procedings of the British Machine Vision Conference 2003, 2003.
DOI : 10.5244/C.17.79

URL : https://hal.archives-ouvertes.fr/inria-00548226

N. J. Mitra, L. J. Guibas, J. Giesen, and M. Pauly, Probabilistic ngerprints for shapes, Proc. SGP, 2006.

E. Nowak, F. Jurie, and B. Triggs, Sampling strategies for bag-of-features image classication, Proc. ECCV, 2006.

A. Oppenheim, R. Schafer, and J. Buck, Discrete-Time Signal Processing, 1999.

R. Osada, T. Funkhouser, B. Chazelle, and D. Dobkin, Shape distributions, ACM Transactions on Graphics, vol.21, issue.4, p.807832, 2002.
DOI : 10.1145/571647.571648

M. Ovsjanikov, A. M. Bronstein, M. M. Bronstein, and L. J. Guibas, Shape Google: a computer vision approach to isometry invariant shape retrieval, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops, 2009.
DOI : 10.1109/ICCVW.2009.5457682

M. Ovsjanikov, J. Sun, and L. Guibas, Global Intrinsic Symmetries of Shapes, Computer Graphics Forum, vol.27, issue.2, p.13411348, 2008.
DOI : 10.1111/j.1467-8659.2008.01273.x

J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman, Object retrieval with large vocabularies and fast spatial matching, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383172

J. Philbin, M. Isard, J. Sivic, and A. Zisserman, Descriptor learning for ecient retrieval, Proc. ECCV, 2010.

U. Pinkall and K. Polthier, Computing Discrete Minimal Surfaces and Their Conjugates, Experimental Mathematics, vol.3, issue.1, p.1536, 1993.
DOI : 10.2307/1970625

M. Porat and Y. Zeevi, The generalized Gabor scheme of image representation in biological and machine vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.10, issue.4, p.452468, 1988.
DOI : 10.1109/34.3910

D. Raviv, A. M. Bronstein, M. M. Bronstein, R. Kimmel, and N. Sochen, Ane-invariant diusion geometry for the analysis of deformable 3d shapes, Proc. CVPR, 2011.

D. Raviv, M. M. Bronstein, A. M. Bronstein, and R. Kimmel, Volumetric heat kernel signatures, Proceedings of the ACM workshop on 3D object retrieval, 3DOR '10, 2010.
DOI : 10.1145/1877808.1877817

M. Reuter, S. Biasotti, D. Giorgi, G. Patanè, and M. Spagnuolo, Discrete LaplaceBeltrami operators for shape analysis and segmentation, Computers & Graphics, vol.33, issue.3, p.381390, 2009.

M. Reuter, F. Wolter, and N. Peinecke, Laplace-spectra as ngerprints for shape matching, Proc. ACM Symp. Solid and Physical Modeling, p.101106, 2005.

R. M. Rustamov, Laplace-Beltrami eigenfunctions for deformation invariant shape representation, Proc. SGP, 2007.

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, p.509522, 2002.
DOI : 10.1109/34.993558

E. L. Schwartz, Spatial mapping in the primate sensory projection: Analytic structure and relevance to perception, Biological Cybernetics, vol.70, issue.4, p.181194, 1977.
DOI : 10.1007/BF01885636

E. Shechtman and M. Irani, Matching Local Self-Similarities across Images and Videos, 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007.
DOI : 10.1109/CVPR.2007.383198

I. Sipiran and B. Bustos, A robust 3D interest points detector based on Harris operator, Proc. 3DOR, 2010.

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003.
DOI : 10.1109/ICCV.2003.1238663

C. Strecha, A. M. Bronstein, M. M. Bronstein, and P. Fua, LDAHash: Improved Matching with Smaller Descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.1, p.6678, 2012.
DOI : 10.1109/TPAMI.2011.103

J. Sun, M. Ovsjanikov, and L. Guibas, A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion, Computer Graphics Forum, vol.21, issue.6, pp.1383-1392, 2009.
DOI : 10.1111/j.1467-8659.2009.01515.x

A. Tal, M. Elad, and S. Ar, Content based retrieval of VRML objects -an iterative and interactive approach, Proc. Eurographics Workshop on Multimedia, 2001.

N. Thorstensen and R. Keriven, Non-rigid Shape Matching Using Geometry and Photometry, Proc. CVPR, 2009.
DOI : 10.1007/978-3-642-12297-2_62

URL : https://hal.archives-ouvertes.fr/hal-00711070

E. Tola, V. Lepetit, and P. Fua, A fast local descriptor for dense matching, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587673

R. Toldo, U. Castellani, and A. Fusiello, Visual vocabulary signature for 3D object retrieval and partial matching, Proc. 3DOR, 2009.

M. Wardetzky, S. Mathur, F. Kälberer, and E. Grinspun, Discrete Laplace operators, ACM SIGGRAPH ASIA 2008 courses on, SIGGRAPH Asia '08, 2008.
DOI : 10.1145/1508044.1508063

S. Winder, G. Hua, and M. Brown, Picking the best DAISY, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206839

G. Wolberg and S. Zokai, Robust image registration using log-polar transform, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000.
DOI : 10.1109/ICIP.2000.901003

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.1451

A. Zaharescu, E. Boyer, K. Varanasi, and R. Horaud, Surface feature detection and description with applications to mesh matching, 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009.
DOI : 10.1109/CVPR.2009.5206748

URL : https://hal.archives-ouvertes.fr/inria-00440407

C. Zhang and T. Chen, Ecient feature extraction for 2D/3D objects in meshrepresentation, Proc. ICIP, 2001.