W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, Face recognition, ACM Computing Surveys, vol.35, issue.4, pp.399-458, 2003.
DOI : 10.1145/954339.954342
URL : https://hal.archives-ouvertes.fr/hal-01339319

P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, J. Chang et al., Overview of the Face Recognition Grand Challenge, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.268

K. W. Bowyer, K. Chang, and P. Flynn, A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition, Computer Vision and Image Understanding, vol.101, issue.1, pp.1-15, 2006.
DOI : 10.1016/j.cviu.2005.05.005

X. Zhao, E. Dellandréa, L. Chen, and I. A. Kakadiaris, Accurate landmarking of three-dimensional facial data in the presence of facial expressions and occlusions using a three-dimensional statistical facial feature model, IEEE Transactions on Systems, Man, and Cybernetics Part B, issue.5, pp.41-1417, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01354433

P. Szeptycki, M. Ardabilian, and L. Chen, A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems, 2009.
DOI : 10.1109/BTAS.2009.5339052
URL : https://hal.archives-ouvertes.fr/hal-01437805

N. Alyüz, B. Gökberk, and L. Akarun, Regional Registration for Expression Resistant 3-D Face Recognition, IEEE Transactions on Information Forensics and Security, vol.5, issue.3, pp.425-440, 2010.
DOI : 10.1109/TIFS.2010.2054081

Y. Wang, J. Liu, and X. Tang, Robust 3D Face Recognition by Local Shape Difference Boosting, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.10, pp.1858-1870, 2010.
DOI : 10.1109/TPAMI.2009.200

T. C. Faltemier, K. W. Bowyer, and P. J. Flynn, A Region Ensemble for 3-D Face Recognition, IEEE Transactions on Information Forensics and Security, vol.3, issue.1, pp.62-73, 2008.
DOI : 10.1109/TIFS.2007.916287
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.123.1133

A. S. Mian, M. Bennamoun, and R. A. Owens, An Efficient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.11, pp.1927-1943, 2007.
DOI : 10.1109/TPAMI.2007.1105
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.9419

C. Samir, A. Srivastava, and M. Daoudi, Three-Dimensional Face Recognition Using Shapes of Facial Curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.11, pp.1858-1863, 2006.
DOI : 10.1109/TPAMI.2006.235

I. A. Kakadiaris, G. Passalis, G. Toderici, M. N. Murtuza, Y. Lu et al., Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.4, pp.640-649, 2007.
DOI : 10.1109/TPAMI.2007.1017

A. S. Mian, M. Bennamoun, and R. A. Owens, Keypoint Detection and Local Feature Matching for Textured 3D Face Recognition, International Journal of Computer Vision, vol.3, issue.11, pp.1-12, 2008.
DOI : 10.1007/s11263-007-0085-5

S. Berretti, A. D. Bimbo, and P. , 3D Face Recognition Using Isogeodesic Stripes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.12, pp.2162-2177, 2010.
DOI : 10.1109/TPAMI.2010.43
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.2357

D. Huang, G. Zhang, M. Ardabilian, Y. Wang, and L. Chen, 3D Face recognition using distinctiveness enhanced facial representations and local feature hybrid matching, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS), 2010.
DOI : 10.1109/BTAS.2010.5634497
URL : https://hal.archives-ouvertes.fr/hal-01381567

D. Huang, M. Ardabilian, Y. Wang, and L. Chen, 3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching, IEEE Transactions on Information Forensics and Security, vol.7, issue.5, pp.1551-1565, 2012.
DOI : 10.1109/TIFS.2012.2206807

A. M. Bronstein, M. M. Bronstein, and R. Kimmel, Expression-Invariant Representations of Faces, IEEE Transactions on Image Processing, vol.16, issue.1, pp.188-197, 2007.
DOI : 10.1109/TIP.2006.884940
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.7174

K. I. Chang, K. W. Bowyer, and P. J. Flynn, Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.10, pp.1695-1700, 2006.
DOI : 10.1109/TPAMI.2006.210

L. Spreeuwers, Fast and Accurate 3D Face Recognition, International Journal of Computer Vision, vol.78, issue.5, pp.389-414, 2011.
DOI : 10.1007/s11263-011-0426-2

V. Vijayan, K. W. Bowyer, P. J. Flynn, D. Huang, L. Chen et al., Twins 3D face recognition challenge, 2011 International Joint Conference on Biometrics (IJCB), 2011.
DOI : 10.1109/IJCB.2011.6117491
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.5042

G. G. Gordon, Face recognition based on depth and curvature features, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992.
DOI : 10.1109/CVPR.1992.223253

D. Sun, W. Sung, and R. Chen, 3d face recognition based on local curvature feature matching, Applied Mechanics and Materials, vol.121, issue.126, pp.609-616, 2011.

G. Zhang and Y. Wang, Robust 3D face recognition based on resolution invariant features, Pattern Recognition Letters, vol.32, issue.7, pp.1009-1019, 2011.
DOI : 10.1016/j.patrec.2011.02.004

H. Li, D. Huang, P. Lemaire, J. Morvan, and L. Chen, Expression robust 3D face recognition via mesh-based histograms of multiple order surface differential quantities, 2011 18th IEEE International Conference on Image Processing, 2011.
DOI : 10.1109/ICIP.2011.6116308
URL : https://hal.archives-ouvertes.fr/hal-01354563

C. Queirolo, L. Silva, O. Bellon, and M. , 3D Face Recognition Using Simulated Annealing and the Surface Interpenetration Measure, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.2, pp.206-219, 2010.
DOI : 10.1109/TPAMI.2009.14

H. Mohammadzade and D. Hatzinakos, Iterative Closest Normal Point for 3D Face Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.2, pp.381-397, 2013.
DOI : 10.1109/TPAMI.2012.107

A. F. Abate, M. Nappi, S. Ricciardi, and G. Sabatino, Fast 3D face recognition based on normal map, IEEE International Conference on Image Processing 2005, 2005.
DOI : 10.1109/ICIP.2005.1530213

A. F. Abate, M. Nappi, S. Ricciardi, and G. Sabatino, Multi-Modal Face Recognition by Means of Augmented Normal Map and PCA, 2006 International Conference on Image Processing
DOI : 10.1109/ICIP.2006.312414

A. F. Abate, M. Nappi, S. Ricciardi, and G. Sabatino, Fast 3D Face Alignment and Improved Recognition Through Pyramidal Normal map Metric, 2007 IEEE International Conference on Image Processing, 2007.
DOI : 10.1109/ICIP.2007.4378915

A. F. Abate, M. D. Marsico, S. Ricciardi, and D. Riccio, Normal maps vs. visible images: Comparing classifiers and combining modalities, Journal of Visual Languages & Computing, vol.20, issue.3, pp.156-168, 2009.
DOI : 10.1016/j.jvlc.2009.01.004

B. Gokberk, M. O. Irfanoglu, and L. , 3D shape-based face representation and feature extraction for face recognition, Image and Vision Computing, vol.24, issue.8, pp.857-869, 2006.
DOI : 10.1016/j.imavis.2006.02.009

T. Ojala, M. Pietikäinen, and T. Mäenpää, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.7, pp.971-987, 2002.
DOI : 10.1109/TPAMI.2002.1017623
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.157.1576

T. Ahonen, A. Hadid, and M. Pietikäinen, Face Recognition with Local Binary Patterns, Proc. Int. Conf. European Conference on Computer Vision, 2004.
DOI : 10.1007/978-3-540-24670-1_36
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.214.6851

A. Martinez, Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24, issue.6, p.748, 2002.
DOI : 10.1109/TPAMI.2002.1008382
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.23.1170

Z. Lei, S. Liao, M. Pietikäinen, and S. Z. Li, Face recognition by exploring information jointly in space, scale and orientation, IEEE Transactions on Image Processing, vol.20, issue.1, pp.247-256, 2011.

D. Huang, K. Ouji, M. Ardabilian, Y. Wang, and L. Chen, 3D Face Recognition Based on Local Shape Patterns and Sparse Representation Classifier, Advances in Multimedia Modeling:17th International Multimedia Modeling Conference (MMM), pp.206-216, 2011.
DOI : 10.1007/978-3-642-17832-0_20
URL : https://hal.archives-ouvertes.fr/hal-01354372

H. Li, D. Huang, J. M. Morvan, and L. Chen, Learning weighted sparse representation of encoded facial normal information for expression-robust 3d face recognition, Proc. IEEE Int. Joint Conf. on Biometrics, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01354565

K. Klasing, D. Althoff, D. Wollherr, and M. Buss, Comparison of surface normal estimation methods for range sensing applications, 2009 IEEE International Conference on Robotics and Automation
DOI : 10.1109/ROBOT.2009.5152493

R. Hoffman and A. K. Jain, Segmentation and Classification of Range Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.9, issue.5, pp.608-620, 1987.
DOI : 10.1109/TPAMI.1987.4767955

J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, Robust Face Recognition via Sparse Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.2, pp.210-227, 2009.
DOI : 10.1109/TPAMI.2008.79
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.4658

Y. C. Pati, R. Rezaiifar, and P. S. Krishnaprasad, Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 1993.
DOI : 10.1109/ACSSC.1993.342465
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.348.5735

L. Yin, X. Wei, Y. Sun, J. Wang, and M. Rosato, A 3d facial expression database for facial behavior research, Proc. 7th Int. Conf. on Automatic Face and Gesture Recognition, 2006.

Z. Zhang, Iterative point matching for registration of free-form curves and surfaces, International Journal of Computer Vision, vol.7, issue.3, pp.119-152, 1994.
DOI : 10.1007/BF01427149

O. Pele and M. Werman, The Quadratic-Chi Histogram Distance Family, Proc. Int. Conf. European Conference on Computer Vision, 2010.
DOI : 10.1007/978-3-642-15552-9_54
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.168.6271

D. Huang, M. Ardabilian, Y. Wang, and L. Chen, A novel geometric facial representation based on multi-scale extended local binary patterns, Face and Gesture 2011, 2011.
DOI : 10.1109/FG.2011.5771323
URL : https://hal.archives-ouvertes.fr/hal-01354380

K. W. Bowyer, K. Chang, and P. Flynn, Adaptive rigid multi-region selection for handling expression variation in 3d face recognition, Proc. Int

. Conf, Computer Vision and Pattern Recognition, 2005.

J. Cook, V. Chandran, and C. , Fookes, 3d face recognition using log-gabor templates, Proc. Int. Conf. British Machine Vision Conference, 2006.
DOI : 10.5244/c.20.79
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.105.2180

F. R. Al-osaimi, M. Bennamoun, and A. S. Mian, Integration of local and global geometrical cues for 3D face recognition, Pattern Recognition, vol.41, issue.3, pp.1030-1040, 2008.
DOI : 10.1016/j.patcog.2007.07.009

F. Al-osaimi, M. Bennamoun, and A. Mian, An Expression Deformation Approach to Non-rigid 3D Face Recognition, International Journal of Computer Vision, vol.35, issue.4, pp.302-316, 2009.
DOI : 10.1007/s11263-008-0174-0
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.146.5322

R. Mckeon, Three-dimensional face imaging and recognition: A sensor design and comparative study, 2010.

D. Huang, W. B. Soltana, M. Ardabilian, Y. Wang, and L. Chen, Textured 3D face recognition using biological vision-based facial representation and optimized weighted sum fusion, CVPR 2011 WORKSHOPS, 2011.
DOI : 10.1109/CVPRW.2011.5981672
URL : https://hal.archives-ouvertes.fr/hal-01354413

O. Ocegueda, S. Shah, and I. Kakadiaris, Which parts of the face give out your identity?, CVPR 2011, pp.641-648, 2011.
DOI : 10.1109/CVPR.2011.5995613

O. Ocegueda, G. Passalis, T. Theoharis, S. Shah, and I. Kakadiaris, UR3D-C: Linear dimensionality reduction for efficient 3D face recognition, 2011 International Joint Conference on Biometrics (IJCB), 2011.
DOI : 10.1109/IJCB.2011.6117521

D. Smeets, J. Keustermans, D. Vandermeulen, and P. , meshSIFT: Local surface features for 3D face recognition under expression variations and partial data, Computer Vision and Image Understanding, vol.117, issue.2, pp.158-169, 2013.
DOI : 10.1016/j.cviu.2012.10.002
URL : https://lirias.kuleuven.be/bitstream/123456789/359922/2/3278_final.pdf

H. Guo, R. Wang, J. Choi, and L. Davis, Face verification using sparse representations, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.37-44, 2012.
DOI : 10.1109/CVPRW.2012.6239213
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.638.4237