M. Browne, An Overview of Analytic Rotation in Exploratory Factor Analysis, Multivariate Behavioral Research, vol.36, issue.1, pp.111-150, 2001.
DOI : 10.1207/S15327906MBR3601_05

R. R. Coifman and S. Lafon, Diffusion maps, Applied and Computational Harmonic Analysis, vol.21, issue.1, pp.5-30, 2006.
DOI : 10.1016/j.acha.2006.04.006

R. R. Coifman and M. Maggioni, Diffusion wavelets, Applied and Computational Harmonic Analysis, vol.21, issue.1, pp.53-94, 2006.
DOI : 10.1016/j.acha.2006.04.004

URL : http://doi.org/10.1016/j.acha.2006.04.004

T. F. Cootes, G. Edwards, and C. Taylor, A comperative evaluation of active appearance model algorithms, Proceedings of BMVC'98, pp.680-689, 1998.

T. F. Cootes, G. J. Edwards, and C. J. Taylor, Active appearance models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.6, pp.681-685, 2001.
DOI : 10.1109/34.927467

T. F. Cootes, A. Hill, C. Taylor, and J. Haslam, Use of active shape models for locating structures in medical images, Image and Vision Computing, vol.12, issue.6, pp.355-366, 1994.
DOI : 10.1016/0262-8856(94)90060-4

T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham, Active Shape Models-Their Training and Application, Computer Vision and Image Understanding, vol.61, issue.1, pp.38-59, 1995.
DOI : 10.1006/cviu.1995.1004

URL : https://www.escholar.manchester.ac.uk/api/datastream?publicationPid=uk-ac-man-scw:1d1862&datastreamId=POST-PEER-REVIEW-PUBLISHERS.PDF

D. Cremers and M. Rousson, Deformable Models.Theory and Biomaterial Applications, chapter Efficient Kernel Density Estimation Of Shape And Intensity Priors For Level Set Segmentation, pp.447-460, 2007.

C. Davatzikos, X. Tao, and S. Dinggang, Hierarchical active shape models, using the wavelet transform, IEEE Transactions on Medical Imaging, vol.22, issue.3, pp.414-423, 2003.
DOI : 10.1109/TMI.2003.809688

R. Donner, M. Reiter, G. Langs, P. Peloschek, and H. Bischof, Fast Active Appearance Model Search Using Canonical Correlation Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1690-1694, 2006.
DOI : 10.1109/TPAMI.2006.206

J. Duncan and N. Ayache, Medical image analysis: progress over two decades and the challenges ahead, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, issue.1, pp.85-106, 2000.
DOI : 10.1109/34.824822

URL : https://hal.archives-ouvertes.fr/inria-00615100

S. Essafi, G. Langs, and N. Paragios, Sparsity, redundancy and optimal image support towards knowledge-based segmentation, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587478

URL : https://hal.archives-ouvertes.fr/hal-00918710

J. W. Fernandez and P. J. Hunter, An anatomically based patient-specific finite element model of patella articulation: towards a diagnostic tool, Biomechanics and Modeling in Mechanobiology, vol.42, issue.3, pp.20-38, 2005.
DOI : 10.1007/s10237-005-0072-0

B. Gilles, L. Moccozet, and N. Magnenat-thalmann, Anatomical modelling of the musculoskeletal system from mr. MICCAI, pp.289-296, 2006.

G. Langs, R. Donner, P. Peloschek, and H. Bischof, Robust Autonomous Model Learning from 2D and 3D Data Sets, Proc. of MICCAI'07, 2007.
DOI : 10.1007/978-3-540-75757-3_117

G. Langs and N. Paragios, Modeling the structure of multivariate manifolds: Shape maps, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587479

URL : https://hal.archives-ouvertes.fr/hal-00918713

G. Langs, P. Peloschek, R. Donner, M. Reiter, and H. Bischof, Active Feature Models, 18th International Conference on Pattern Recognition (ICPR'06), pp.417-420, 2006.
DOI : 10.1109/ICPR.2006.207

K. E. Leung and J. G. Bosch, Localized Shape Variations for Classifying Wall Motion in Echocardiograms, Medical Image Computing and Computer-Assisted Intervention MICCAI, pp.52-59, 2007.
DOI : 10.1007/978-3-540-75757-3_7

B. Luo and E. R. Hancock, Iterative procrustes alignment with the em algorithm iterative procrustes alignment with the em algorithm, Image and Vision Computing, 2002.

Y. Meyer, Wavelets -Algorithms and applications, Applied Mathematics, 1993.

D. Nain, S. Haker, A. Bobick, and A. Tannenbaum, Shape-Driven 3D Segmentation Using Spherical Wavelets, Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2006, pp.66-74, 2006.
DOI : 10.1007/11866565_9

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644395/pdf

D. Nain, S. Haker, A. Bobick, and A. Tannenbaum, Multiscale 3-D Shape Representation and Segmentation Using Spherical Wavelets, IEEE Transactions on Medical Imaging, vol.26, issue.4, pp.598-618, 2007.
DOI : 10.1109/TMI.2007.893284

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3660982

K. Zhu, Y. Wong, W. Lu, and J. Fuh, A diffusion wavelet approach for 3-D model matching, Computer-Aided Design, vol.41, issue.1, pp.28-36, 2009.
DOI : 10.1016/j.cad.2008.11.007

I. Unité-de-recherche, . Lorraine, . Loria, and . Technopôle-de-nancy, Brabois -Campus scientifique 615, rue du Jardin Botanique -BP 101 -54602 Villers-lès-Nancy Cedex (France) Unité de recherche INRIA Rennes : IRISA, Campus universitaire de Beaulieu -35042 Rennes Cedex (France) Unité de recherche INRIA Rhône-Alpes : 655, avenue de l'Europe -38334 Montbonnot Saint-Ismier (France) Unité de recherche INRIA Rocquencourt, Domaine de Voluceau -Rocquencourt -BP 105 -78153 Le Chesnay Cedex (France) Unité de recherche INRIA Sophia Antipolis : 2004, route des Lucioles -BP 93 -06902 Sophia Antipolis Cedex