T. F. Ansary, M. Daoudi, and J. Vandeborre, 3D Model Retrieval Based on Adaptive Views Clustering, 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005), 2005.
DOI : 10.1007/11552499_53
URL : https://hal.archives-ouvertes.fr/hal-00725590

B. Bustos, D. A. Keim, T. Schreck, and D. Vranic, An experimental comparison of feature-based 3D retrieval methods, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004., 2004.
DOI : 10.1109/TDPVT.2004.1335197

D. Chen, X. Tian, Y. Shen, and M. Ouhyoung, On Visual Similarity Based 3D Model Retrieval, Computer Graphics Forum, vol.21, issue.5, pp.223-232, 2003.
DOI : 10.1109/TPAMI.2002.1023806

F. Cutzu and M. Tarr, The representation of threedimensional object similarity in human vision, SPIE Proceedings from Electronic Imaging: Human Vision and Electronic Imaging II, pp.460-471, 1997.

C. Cyr and B. Kimia, 3D object recognition using shape similarity-based aspect graph, International Conference on Computer Vision (ICCV), pp.254-261, 2001.

W. Hayward and P. Williams, Viewpoint Dependence and Object Discriminability, Psychological Science, vol.32, issue.1, pp.7-12, 2000.
DOI : 10.1016/0010-0285(76)90013-X

M. Heczko, D. A. Keim, D. Saupe, and D. V. Vranic, Verfahren zur¨Ahnlichkeitssuchezur¨ zur¨Ahnlichkeitssuche auf 3D-objekten (methods for similarity search on 3D databases, Datenbank-Spektrum, vol.2, issue.2, pp.54-63, 2002.

R. Lawson, H. Bülthoff, and S. Dumbell, Interactions between View Changes and Shape Changes in Picture???Picture Matching, Perception, vol.7, issue.12, pp.1465-1498, 2003.
DOI : 10.1068/p5031

C. Lee, A. Varshney, and D. Jacobs, Mesh saliency, ACM Transactions on Graphics, vol.24, issue.3, pp.659-666, 2005.
DOI : 10.1145/1073204.1073244

D. Lowe, S. Mahmoudi, and M. Daoudi, Distinctive image features from scale-invariant keypoints 3D models retrieval by using characteristic views, The International Conference on Pattern Recognition, pp.91-110, 2002.

P. Min, A 3D Model Search Engine, 2004.

R. Ohbuchi, M. Nakazawa, and T. Takei, Retrieving 3D shapes based on their appearance, Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval , MIR '03, 2003.
DOI : 10.1145/973264.973272
URL : http://cgit.nutn.edu.tw:8080/cgit/PaperDL/LBS_090902153957.pdf

O. Polonsky, G. Patanè, S. Biasotti, C. Gotsman, and M. Spagnuolo, What's in an image? The Visual Computer, 16] U. Princeton 3D models search engine, pp.840-847, 2005.

Y. Shen, D. Chen, X. Tian, and M. Ouhyoung, 3D model search engine based on lightfi eld descriptors (poster, Eurographics, 2003.

P. Shilane, P. Min, M. Kazhdan, and T. Funkhouser, The princeton shape benchmark, Proceedings Shape Modeling Applications, 2004., pp.167-178, 2004.
DOI : 10.1109/SMI.2004.1314504

J. Tangelder and R. Veltkamp, A survey of content based 3D shape retrieval methods, Proceedings Shape Modeling Applications, 2004., pp.145-156, 2004.
DOI : 10.1109/SMI.2004.1314502

N. Vajramushti, I. A. Kakadiaris, T. Theoharis, and G. Papaioanno, Effi cient 3D object retrieval using depth images, Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, pp.189-196, 2004.
DOI : 10.1145/1026711.1026743
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.108.4882

D. Vranic, An improvement of rotation invariant 3D-shape descriptor based on functions on concentric spheres, ICIP 2003, pp.757-760, 2003.

D. Vranic, 3D Model Retrieval, 2004.

D. Vranic, D. Saupe, and J. Richter, Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564), 2001.
DOI : 10.1109/MMSP.2001.962749
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.144.5016

D. V. Vranic and D. Saupe, 3D shape descriptor based on 3D Fourier transform, EURASIP Conference on Digital Signal Processing for Multimedia Communications and Services, pp.271-274, 2001.

T. Zaharia and F. Prêteux, 3D versus 2D/3D shape descriptors: a comparative study, Image Processing: Algorithms and Systems III, 2004.
DOI : 10.1117/12.533092
URL : https://hal.archives-ouvertes.fr/hal-00273580