A. , G. Berretti, S. , D. Bimbo, A. And-pala et al., Retrieval of 3d objects using curvature correlograms, IEEE International Conference on Multimedia & Expo, 2005.

A. , J. Bertini, M. , D. Bimbo, A. And-pala et al., Content-based retrieval of 3-d objects using spin image signatures, IEEE Transactions on Multimedia, vol.9, pp.589-599, 2007.

B. , S. Giorgi, D. Marini, S. Spagnuolo, M. And-falcidieno et al., A comparison framework for 3d object classification methods. In Multimedia content representation, classification and security, pp.314-321, 2006.

A. Bronstein, M. Bronstein, A. Bruckstein, and R. And-kimmel, Partial Similarity of Objects, or How to Compare a Centaur to??a??Horse, International Journal of Computer Vision, vol.13, issue.2, 2008.
DOI : 10.1007/s11263-008-0147-3

A. Bronstein, M. Bronstein, Y. Carmon, and R. And-kimmel, Partial Similarity of Shapes Using a Statistical Significance Measure, IPSJ Transactions on Computer Vision and Applications, vol.1, pp.105-114, 2009.
DOI : 10.2197/ipsjtcva.1.105

A. Bronstein, M. Bronstein, and R. And-kimmel, Efficient Computation of Isometry???Invariant Distances Between Surfaces, SIAM Journal on Scientific Computing, vol.28, issue.5, pp.902-913, 2007.
DOI : 10.1137/050639296

C. , D. Tian, X. Shen, Y. And-ouhyoung, and M. , On visual similarity based 3D model retrieval, Eurographics, vol.22, pp.223-232, 2003.

D. , R. Huber, D. Kapuria, A. , A. Hebert et al., Automatic class selection and prototyping for 3-d object classification. 3-D Digital Imaging and Modeling (3DIM), 2005.

F. Ansary, T. Daoudi, M. And-vandeborre, and J. , A Bayesian 3-D Search Engine Using Adaptive Views Clustering, IEEE Transactions on Multimedia, vol.9, issue.1, pp.78-88, 2007.
DOI : 10.1109/TMM.2006.886359
URL : https://hal.archives-ouvertes.fr/hal-00666134

F. , T. Min, P. Kazhdan, M. Chen, J. Halderman et al., A search engine for 3D models, ACM Transactions on Graphics, vol.22, issue.1, pp.83-105, 2003.

H. , M. Shinagawa, Y. Kohmura, T. And-kunii, and T. , Topology matching for fully automatic similarity estimation of 3D shapes, SIGGRAPH, pp.203-212, 2001.

H. , D. Kapuria, A. Donamukkala, R. , A. Hebert et al., Parts-based 3d object classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2004.

K. , M. Funkhouser, T. And-rusinkiewicz, and S. , Rotation invariant spherical harmonic representation of 3d shape descriptors, Geometry Processing, 2003.

K. , J. And, and A. Van-doorn, Surface shape and curvature scales, Image and Vision Computing, vol.10, pp.557-565, 1992.

M. , A. Daras, P. Axenopoulos, A. Tzovaras, D. And-strintzis et al., Combining topological and geometrical features for global and partial 3-d shape retrieval. Multimedia, IEEE Transactions on, vol.10, issue.aug, pp.5-819, 2008.

O. , R. Funkhouser, T. Chazelle, B. And-dobkin, and D. , Shape distributions, ACM Transactions on Graphics, vol.21, issue.4, pp.807-832, 2002.

P. , E. And-rioux, and M. , Nefertiti: a query by content system for three-dimensional model and image databases management, Image and Vision Computing, vol.17, pp.157-166, 1999.

S. , R. And-popovic, and J. , Deformation transfer for triangle meshes, International Conference on Computer Graphics and Interactive Techniques, 2004.

T. , J. Vandeborre, J. And-daoudi, and M. , Topology driven 3D mesh hierarchical segmentation, IEEE International Conference on Shape Modeling and Applications, pp.215-220, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00725321

V. , A. Figueiredo, M. Jain, A. And-zhang, and H. , Image classification for contentbased indexing, IEEE Transactions on Image Processing, vol.10, pp.117-130, 2001.

Z. , L. And-denoeux, and T. , An evidence-theoretic k-nn rule with parameter optimization, IEEE Transactions on Systems, vol.28, pp.263-271, 1998.