J. W. Tangelder and R. C. Veltkamp, A survey of content based 3D shape retrieval methods, Proceedings Shape Modeling Applications, 2004., pp.441-471, 2008.
DOI : 10.1109/SMI.2004.1314502

A. M. Bronstein, M. M. Bronstein, L. J. Guibas, and M. Ovsjanikov, Shape google, ACM Transactions on Graphics, vol.30, issue.1, 2011.
DOI : 10.1145/1899404.1899405

Z. Lian, A. Godil, and X. Sun, Visual Similarity Based 3D Shape Retrieval Using Bag-of-Features, 2010 Shape Modeling International Conference, 2010.
DOI : 10.1109/SMI.2010.20

H. Tabia, M. Daoudi, O. Colot, and J. Vandeborre, Three-dimensional object retrieval based on vector quantization of invariant descriptors, Journal of Electronic Imaging, vol.21, issue.2, pp.23011-23012, 2012.
DOI : 10.1117/1.JEI.21.2.023011
URL : https://hal.archives-ouvertes.fr/hal-00702592

H. Tabia, M. Daoudi, J. Vandeborre, and O. Collot, Local visual patch for 3d shape retrieval, Proceedings of the ACM workshop on 3D object retrieval, 3DOR '10, 2010.
DOI : 10.1145/1877808.1877811
URL : https://hal.archives-ouvertes.fr/hal-00666748

H. Laga, M. Nakajima, and K. Chihara, DISCRIMINATIVE SPHERICAL WAVELET FEATURES FOR CONTENT-BASED 3D MODEL RETRIEVAL, International Journal of Shape Modeling, vol.13, issue.01, pp.51-72, 2007.
DOI : 10.1142/S0218654307000944

H. Laga, H. Takahashi, and M. Nakajima, Spherical Wavelet Descriptors for Content-based 3D Model Retrieval, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06), pp.75-85, 2006.
DOI : 10.1109/SMI.2006.39

J. Sivic and A. Zisserman, Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, p.1470, 2003.
DOI : 10.1109/ICCV.2003.1238663

K. Chatfield, V. Lempitsky, A. Vedaldi, and A. Zisserman, The devil is in the details: an evaluation of recent feature encoding methods, Procedings of the British Machine Vision Conference 2011, pp.1-12, 2011.
DOI : 10.5244/C.25.76

B. Li, A. Godil, M. Aono, X. Bai, T. Furuya et al., Shrec'12 track: Generic 3d shape retrieval, 3DOR. 2012, pp.119-126

J. Wang, J. Yang, K. Yu, F. Lv, T. Huang et al., Locality-constrained Linear Coding for image classification, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3360-3367, 2010.
DOI : 10.1109/CVPR.2010.5540018

F. Perronnin, J. Sánchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, pp.143-156, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

H. Jegou, F. Perronnin, M. Douze, J. Sanchez, P. Perez et al., Aggregating Local Image Descriptors into Compact Codes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.9, pp.1704-1716, 2012.
DOI : 10.1109/TPAMI.2011.235
URL : https://hal.archives-ouvertes.fr/inria-00633013

R. Negrel, D. Picard, and P. Gosselin, Compact tensor based image representation for similarity search, 2012 19th IEEE International Conference on Image Processing, 2012.
DOI : 10.1109/ICIP.2012.6467387
URL : https://hal.archives-ouvertes.fr/hal-00753157

R. Negrel, D. Picard, and P. Gosselin, Using spatial pyramids with compacted vlat for image categorization, ICPR, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00753158

H. Laga and M. Nakajima, Supervised learning of salient 2D views of 3D models, The Journal of the Society for Art and Science, vol.7, issue.4, pp.124-131, 2008.