A. F. Abate, M. Nappi, D. Riccio, and G. Sabatino, 2D and 3D face recognition: A survey, Pattern Recognition Letters, vol.28, issue.14, pp.1885-1906, 2007.
DOI : 10.1016/j.patrec.2006.12.018

T. Ahonen, A. Hadid, and M. Pietikainen, Face description with local binary patterns: Application to face recognition. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.28, issue.12, pp.2037-2041, 2006.

F. Barak, S. Alexander, M. Meir, and A. , Depth mapping using projected patterns, p.20100118123, 2010.

I. B. Barbosa, M. Cristani, A. D. Bue, L. Bazzani, and V. Murino, Re-identification with RGB-D Sensors, Lecture Notes in Computer Science, vol.7583, issue.1, pp.433-442, 2012.
DOI : 10.1007/978-3-642-33863-2_43

R. Basri and D. Jacobs, Lambertian reflectance and linear subspaces. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.25, issue.2, pp.218-233, 2003.
DOI : 10.1109/iccv.2001.937651
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.32.9663

P. N. Belhumeur, J. A. Hespanha, and D. J. Kriegman, Eigenfaces vs. Fisherfaces: recognition using class specific linear projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.7, pp.711-720, 1997.
DOI : 10.1109/34.598228

J. L. Bentley, Multidimensional binary search trees used for associative searching, Communications of the ACM, vol.18, issue.9, pp.509-517, 1975.
DOI : 10.1145/361002.361007

M. Bertalmio, G. Sapiro, V. Caselles, and C. Ballester, Image inpainting, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.417-424, 2000.
DOI : 10.1145/344779.344972
URL : https://hal.archives-ouvertes.fr/hal-00522652

P. J. Besl and N. D. Mckay, A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.14, issue.2, pp.239-256, 1992.
DOI : 10.1109/34.121791

S. Birchfield, Elliptical head tracking using intensity gradients and color histograms, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.232-237, 1998.
DOI : 10.1109/CVPR.1998.698614

P. E. Black, dense graph. in Dictionary of Algorithms and Data Structures, 2008.

P. E. Black, sparse graph. in Dictionary of Algorithms and Data Structures, 2008.

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

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, pp.359-374, 2001.

Y. Boykov, O. Veksler, and R. Zabih, Markov random fields with efficient approximations, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), pp.648-655, 1998.
DOI : 10.1109/CVPR.1998.698673

Y. Boykov, O. Veksler, and R. Zabih, Fast approximate energy minimization via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, 2001.

J. C. Brown and P. J. Miller, Automatic classification of killer whale vocalizations using dynamic time warping, The Journal of the Acoustical Society of America, vol.122, issue.2, pp.1201-1207, 2007.
DOI : 10.1121/1.2747198

G. Burel and D. Carel, Detection and localization of faces on digital images, Pattern Recognition Letters, vol.15, issue.10, pp.963-967, 1994.
DOI : 10.1016/0167-8655(94)90027-2

E. J. Candès, X. Li, Y. Ma, and J. Wright, Robust principal component analysis?, Journal of the ACM, vol.58, issue.3, pp.1-11, 2011.
DOI : 10.1145/1970392.1970395

D. Chai and K. Ngan, Face segmentation using skin-color map in videophone applications . Circuits and Systems for Video Technology, IEEE Transactions on, vol.9, issue.4, pp.551-564, 1999.

C. H. Chan and J. Kittler, Sparse representation of (Multiscale) histograms for face recognition robust to registration and illumination problems, 2010 IEEE International Conference on Image Processing, pp.2441-2444, 2010.
DOI : 10.1109/ICIP.2010.5651933

Y. T. Che-yen-wen, . Shih-hsuan, C. Chiu, and . Lu, The mask detection technology for occluded face analysis in the surveillance system, 2005.

R. Chellappa, C. Wilson, and S. Sirohey, Human and machine recognition of faces: a survey, Proceedings of the IEEE, vol.83, issue.5, pp.705-741, 1995.
DOI : 10.1109/5.381842

Y. Chen and G. Medioni, Object modelling by registration of multiple range images, Image and Vision Computing, vol.10, issue.3, pp.145-155, 1992.
DOI : 10.1016/0262-8856(92)90066-C

C. Chung-chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, 2001.
DOI : 10.1145/1961189.1961199

A. Colombo, C. Cusano, and R. Schettini, Three-Dimensional Occlusion Detection and Restoration of??Partially Occluded Faces, Journal of Mathematical Imaging and Vision, vol.14, issue.11, pp.105-119, 2011.
DOI : 10.1007/s10851-010-0252-0

A. Colombo, C. Cusano, and R. Schettini, UMB-DB: A database of partially occluded 3D faces, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.2113-2119, 2011.
DOI : 10.1109/ICCVW.2011.6130509

C. Cortes and V. Vapnik, Support-vector networks, Machine Learning, pp.273-297, 1995.
DOI : 10.1007/BF00994018

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), pp.886-893, 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

J. Daugman, Face and gesture recognition: overview. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.19, issue.7, pp.675-676, 1997.

J. Daugman, How iris recognition works. Circuits and Systems for Video Technology, IEEE Transactions on, vol.14, issue.1, pp.21-30, 2004.

A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum Likelihood from Incomplete Data via the EM Algorithm, Journal of the Royal Statistical Society. Series B (Methodological ), vol.39, issue.1, pp.1-38, 1977.

D. L. Donoho, High-dimensional data analysis: the curses and blessings of dimensionality, American Mathematical Society Conf. Math Challenges of the 21st Century, 2000.

D. L. Donoho, For most large underdetermined systems of linear equations the minimal ???1-norm solution is also the sparsest solution, Communications on Pure and Applied Mathematics, vol.50, issue.6, pp.797-829, 2004.
DOI : 10.1002/cpa.20132

S. Du, M. Shehata, and W. Badawy, Hard hat detection in video sequences based on face features, motion and color information, Computer Research and Development (ICCRD), 2011 3rd International Conference on, pp.25-29, 2011.

J. Duchon, Splines minimizing rotation-invariant semi-norms in Sobolev spaces, Constructive Theory of Functions of Several Variables, pp.85-100, 1977.
DOI : 10.1007/BFb0086566

H. K. Ekenel and R. Stiefelhagen, Why Is Facial Occlusion a Challenging Problem?, Proceedings of the Third International Conference on Advances in Biometrics, ICB '09, pp.299-308, 2009.
DOI : 10.1007/978-3-642-01793-3_31

N. Erdogmus and J. Dugelay, On discriminative properties of TPS warping parameters for 3D face recognition, 2012 International Conference on Informatics, Electronics & Vision (ICIEV), pp.5-2012, 2012.
DOI : 10.1109/ICIEV.2012.6317338
URL : https://hal.archives-ouvertes.fr/hal-00782207

M. F. Fallon, H. Johannsson, and J. J. Leonard, Efficient scene simulation for robust monte carlo localization using an RGB-D camera, 2012 IEEE International Conference on Robotics and Automation, pp.1663-1670, 2012.
DOI : 10.1109/ICRA.2012.6224951

T. Faltemier, K. Bowyer, and P. Flynn, Using a Multi-Instance Enrollment Representation to Improve 3D Face Recognition, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems, pp.1-6, 2007.
DOI : 10.1109/BTAS.2007.4401928

T. C. Faltemier, K. W. Bowyer, and P. J. Flynn, Using multi-instance enrollment to improve performance of 3D face recognition, Computer Vision and Image Understanding, vol.112, issue.2, pp.114-125, 2008.
DOI : 10.1016/j.cviu.2008.01.004

S. Fidler, D. Skocaj, and A. Leonardis, Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.3, pp.337-350, 2006.
DOI : 10.1109/TPAMI.2006.46

R. A. Fisher, THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS, Annals of Eugenics, vol.59, issue.2, pp.179-188
DOI : 10.1111/j.1469-1809.1936.tb02137.x

A. Fusiello, V. Murino, and R. Cucchiara, Person Identification Using Full-Body Motion and Anthropometric Biometrics from Kinect Videos, Lecture Notes in Computer Science, vol.7585, 2012.

M. Gabel, E. Renshaw, A. Schuster, and R. Gilad-bachrach, Full body gait analysis with Kinect, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012.
DOI : 10.1109/EMBC.2012.6346340

S. Geman and D. Geman, Stochastic relaxation, gibbs distributions, and the bayesian restoration of images. Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.66, pp.721-741, 1984.

S. Granger and X. Pennec, Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration, Proceedings of the 7th European Conference on Computer Vision-Part IV, ECCV '02, pp.418-432, 2002.
DOI : 10.1007/3-540-47979-1_28
URL : https://hal.archives-ouvertes.fr/inria-00615911

Z. Guo, L. Zhang, and D. Zhang, A completed modeling of local binary pattern operator for texture classification, Image Processing IEEE Transactions on, vol.19, issue.6, pp.1657-1663, 2010.

S. Gupta, K. R. Castleman, M. K. Markey, and A. C. Bovik, Texas 3D Face Recognition Database, 2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI), pp.97-100, 2010.
DOI : 10.1109/SSIAI.2010.5483908

X. He and P. Niyogi, Locality Preserving Projections, 2004.

X. He, S. Yan, Y. Hu, P. Niyogi, and H. Zhang, Face recognition using laplacianfaces. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.27, issue.3, pp.328-340, 2005.

P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments, J. Robotic Res, issue.5, pp.31647-663, 2012.
DOI : 10.1007/978-3-642-28572-1_33

D. Herrera, C. , J. Kannala, and J. Heikkilä, Accurate and Practical Calibration of a Depth and Color Camera Pair, Computer Analysis of Images and Patterns, pp.437-445, 2011.
DOI : 10.1017/CBO9780511811685

D. Herrera, C. , J. Kannala, and J. Heikkilä, Joint depth and color camera calibration with distortion correction. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.34, issue.10, pp.2058-2064

D. Huang, C. Shan, M. Ardabilian, Y. Wang, and L. Chen, Local binary patterns and its application to facial image analysis: A survey. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, issue.6, pp.41765-781, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01354386

X. Huang, S. Li, and Y. Wang, Jensen-shannon boosting learning for object recognition, Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, pp.144-149, 2005.

Y. Huang, Y. Wang, and T. Tan, Combining Statistics of Geometrical and Correlative Features for 3D Face Recognition, Procedings of the British Machine Vision Conference 2006, pp.90-91, 2006.
DOI : 10.5244/C.20.90

T. Huynh, R. Min, and J. Dugelay, An efficient LBP-based descriptor for facial depth images applied to gender recognition using RGB-D face data Workshop on Computer Vision with Local Binary Pattern Variants, ACCV 2012, p.2012, 2012.

A. Hyvärinen, The fixed-point algorithm and maximum likelihood estimation for independent component analysis, Neural Processing Letters, vol.10, issue.1, pp.1-5, 1999.
DOI : 10.1023/A:1018647011077

S. Izadi, D. Kim, O. Hilliges, D. Molyneaux, R. A. Newcombe et al., KinectFusion, Proceedings of the 24th annual ACM symposium on User interface software and technology, UIST '11, pp.559-568, 2011.
DOI : 10.1145/2047196.2047270

A. Jain, L. Hong, and R. Bolle, On-line fingerprint verification. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.19, issue.4, pp.302-314, 1997.

A. Jain, A. Ross, and S. Prabhakar, An introduction to biometric recognition. Circuits and Systems for Video Technology, IEEE Transactions on, vol.14, issue.1, pp.4-20, 2004.

S. M. Kim, Y. Sung, and B. G. Park, A New Video Surveillance System Employing Occluded Face Detection, 2005.
DOI : 10.1007/11504894_10

H. Jia and A. M. Martinez, Support vector machines in face recognition with occlusions, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, pp.136-141

R. Johnson, K. O-'hara, A. Sellen, C. Cousins, and A. Criminisi, Exploring the potential for touchless interaction in image-guided interventional radiology, Proceedings of the 2011 annual conference on Human factors in computing systems, CHI '11, pp.3323-3332, 2011.
DOI : 10.1145/1978942.1979436

I. T. Jolliffe, Principal Component Analysis, 2002.
DOI : 10.1007/978-1-4757-1904-8

I. Kakadiaris, G. Passalis, G. Toderici, M. Murtuza, Y. Lu et al., Three-dimensional face recognition in the presence of facial expressions: An annotated deformable model approach. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.29, issue.4, pp.640-649, 2007.

K. Khoshelham and S. O. Elberink, Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications, Sensors, vol.12, issue.12, pp.1437-1454, 2012.
DOI : 10.3390/s120201437

J. Kim, J. Choi, J. Yi, and M. Turk, Effective representation using ica for face recognition robust to local distortion and partial occlusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, pp.1977-1981, 2005.

V. Kolmogorov and R. Zabih, What energy functions can be minimized via graph cuts, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, pp.65-81, 2004.

S. Kullback and R. A. Leibler, On Information and Sufficiency, The Annals of Mathematical Statistics, vol.22, issue.1, pp.49-86, 1951.
DOI : 10.1214/aoms/1177729694

K. Lee, J. Ho, and D. J. Kriegman, Acquiring linear subspaces for face recognition under variable lighting, IEEE Trans. Pattern Anal. Mach. Intell, vol.27, issue.5, pp.684-698, 2005.

S. Z. Li, Encyclopedia of Biometrics, 2009.

S. Z. Li, X. Hou, H. Zhang, and Q. Cheng, Learning spatially localized, parts-based representation, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp.207-212, 2001.
DOI : 10.1109/CVPR.2001.990477

S. Liao and A. K. Jain, Partial face recognition: An alignment free approach, International Joint Conference on, pp.1-8, 2011.

S. Liao, X. Zhu, Z. Lei, L. Zhang, and S. Z. Li, Learning Multi-scale Block Local Binary Patterns for Face Recognition, Proceedings of the 2007 international conference on Advances in Biometrics, ICB'07, pp.828-837, 2007.
DOI : 10.1007/978-3-540-74549-5_87

D. Lin and M. Liu, Face Occlusion Detection for Automated Teller Machine Surveillance, 2006.
DOI : 10.1007/11949534_64

H. Lin, Working set selection using the second order information for training svm, 2003.

Z. Lin, M. Chen, and Y. Ma, The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices. ArXiv e-prints, 2010.

D. Lowe, Object recognition from local scale-invariant features, Proceedings of the Seventh IEEE International Conference on Computer Vision, pp.1150-1157, 1999.
DOI : 10.1109/ICCV.1999.790410

J. Maatta, A. Hadid, and M. Pietikainen, Face spoofing detection from single images using micro-texture analysis, 2011 International Joint Conference on Biometrics (IJCB), pp.1-7, 2011.
DOI : 10.1109/IJCB.2011.6117510

J. Maatta, A. Hadid, and M. Pietikainen, Face spoofing detection from single images using texture and local shape analysis, IET Biometrics, vol.1, issue.1, pp.3-10, 2012.
DOI : 10.1049/iet-bmt.2011.0009

A. Martinez and R. Benavente, The ar face database, CVC Technical Report, issue.24, 1998.

A. M. Martinez, The AR face database, CVC Technical Report, vol.24, 1998.

A. M. 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, 2002.
DOI : 10.1109/TPAMI.2002.1008382

G. Medioni and R. Waupotitsch, Face modeling and recognition in 3-D, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443), p.232, 2003.
DOI : 10.1109/AMFG.2003.1240848

K. Messer, J. Matas, J. Kittler, and K. Jonsson, Xm2vtsdb: The extended m2vts database, Second International Conference on Audio and Video-based Biometric Person Authentication, pp.72-77, 1999.

R. Min, J. Choi, G. Medioni, and J. Dugelay, Real-time 3D face identification from a depth camera, ICPR 2012, 21st International Conference on Pattern Recognition Tsukuba International Congress Center, p.2012, 2012.

R. Min, A. , and J. Dugelay, Efficient scarf detection prior to face recognition, EUSIPCO 2010, 18th European Signal Processing Conference, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00799556

R. Min, A. Hadid, and J. Dugelay, Improving the recognition of faces occluded by facial accessories, Face and Gesture 2011, pp.442-447, 2011.
DOI : 10.1109/FG.2011.5771439

A. B. Moreno and A. Sánchez, GavabDB: a 3D Face Database, Workshop on Biometrics on the Internet, pp.77-85, 2004.

H. J. Oh, K. M. Lee, and S. U. Lee, Occlusion invariant face recognition using selective local non-negative matrix factorization basis images, Image and Vision Computing, vol.26, issue.11, pp.1515-1523, 2008.
DOI : 10.1016/j.imavis.2008.04.016

T. Ojala, M. Pietikainen, and T. Maenpaa, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.24, issue.7, pp.971-987, 2002.

V. Ojansivu and J. Heikkilä, Blur Insensitive Texture Classification Using Local Phase Quantization, Lecture Notes in Computer Science, vol.5099, pp.236-243, 2008.
DOI : 10.1007/978-3-540-69905-7_27

G. P. Otto and T. K. Chau, ???Region-growing??? algorithm for matching of terrain images, Image and Vision Computing, vol.7, issue.2, pp.83-94, 1989.
DOI : 10.1016/0262-8856(89)90001-2

B. Park, K. Lee, and S. Lee, Face recognition using face-ARG matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.12, pp.1982-1988, 2005.
DOI : 10.1109/TPAMI.2005.243

J. Park, Y. H. Oh, S. C. Ahn, and S. Lee, Glasses Removal from Facial Image Using Recursive PCA Reconstruction, Proceedings of the 4th international conference on Audio-and video-based biometric person authentication, AVBPA'03, pp.369-376, 2003.
DOI : 10.1007/3-540-44887-X_44

P. S. Penev and J. J. Atick, Local feature analysis: a general statistical theory for object representation, Network: Computation in Neural Systems, vol.7, issue.3, 1996.
DOI : 10.1088/0954-898X_7_3_002

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), pp.947-954, 2005.
DOI : 10.1109/CVPR.2005.268

P. J. Phillips, P. J. Flynn, K. W. Bowyer, R. W. Bruegge, P. Grother et al., Distinguishing identical twins by face recognition, Face and Gesture 2011, pp.21-25, 2011.
DOI : 10.1109/FG.2011.5771395

P. J. Phillips, H. Moon, P. Rauss, and S. A. Rizvi, The FERET evaluation methodology for face-recognition algorithms, Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), CVPR '97, p.137, 1997.
DOI : 10.1109/34.879790

J. Preis, M. Kessel, M. Werner, and C. Linnhoff-popien, Gait recognition with kinect, Proceedings of the First Workshop on Kinect in Pervasive Computing, 2012.

A. Rama, F. Tarres, L. Goldmann, and T. Sikora, More robust face recognition by considering occlusion information, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, pp.1-6, 2008.
DOI : 10.1109/AFGR.2008.4813319

S. Roth and M. J. Black, Fields of Experts, International Journal of Computer Vision, vol.27, issue.2, pp.205-229, 2009.
DOI : 10.1007/s11263-008-0197-6

S. C. Sang-min-yoon, Detection of partially occluded face using support vector machines

A. Savran, N. Alyüzaly¨alyüz, H. Dibeklio, ?. Glu, O. C. ¸-eliktutan et al., Biometrics and identity management. chapter Bosphorus Database for 3D Face Analysis, pp.47-56, 2008.

J. Shotton, A. Fitzgibbon, M. Cook, T. Sharp, M. Finocchio et al., Real-time human pose recognition in parts from single depth images, Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp.1297-1304, 2011.

S. Singh, A. Gyaourova, G. Bebis, and I. Pavlidis, Infrared and visible image fusion for face recognition, Proc. SPIE 5404, Biometric Technology for Human Identification, pp.585-596, 2004.

P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell, Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About, Proceedings of the IEEE, pp.1948-1962, 2006.
DOI : 10.1109/JPROC.2006.884093

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

E. Stone and M. Skubic, Evaluation of an inexpensive depth camera for in-home gait assessment, J. Ambient Intell. Smart Environ, vol.3, issue.4, pp.349-361, 2011.

Q. F. Stout, Supporting divide-and-conquer algorithms for image processing, Journal of Parallel and Distributed Computing, vol.4, issue.1, pp.95-115, 1987.
DOI : 10.1016/0743-7315(87)90010-4

T. Tamaki, M. Abe, B. Raytchev, and K. Kaneda, Softassign and EM-ICP on GPU, 2010 First International Conference on Networking and Computing, pp.179-183, 2010.
DOI : 10.1109/IC-NC.2010.60

X. Tan, S. Chen, Z. Zhou, and F. Zhang, Ieee transactions on neural networks 1 recognizing partially occluded, expression variant faces from single training image per person with som and soft knn ensemble

R. Tsai, An efficient and accurate camera calibration technique for 3d machine vision, Computer Vision and Pattern Recognition, 1986.

M. Turk and A. Pentland, Face recognition using eigenfaces In Computer Vision and Pattern Recognition, Proceedings CVPR '91., IEEE Computer Society Conference on, pp.586-591, 1991.

C. Velardo and J. Dugelay, Real time extraction of body soft biometric from 3D videos, Proceedings of the 19th ACM international conference on Multimedia, MM '11, pp.781-782, 2011.
DOI : 10.1145/2072298.2072454

C. Velardo, J. Dugelay, L. Daniel, A. Dantcheva, N. Erdogmus et al., Introduction to biometry. Book chapter, Multimedia Image and Video Processing, pp.978-1439830864, 2011.

P. Viola and M. J. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision, vol.57, issue.2, pp.137-154, 2004.
DOI : 10.1023/B:VISI.0000013087.49260.fb

L. Wang, T. Tan, H. Ning, and W. Hu, Silhouette analysis-based gait recognition for human identification. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.25, issue.12, pp.1505-1518, 2003.

J. Wright and Y. Ma, Dense error correction via l1-minimization, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.3033-3036, 2009.
DOI : 10.1109/ICASSP.2009.4960263

J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, Robust face recognition via sparse representation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.31, issue.2, pp.210-227, 2009.

C. Wu, C. Liu, H. Shum, Y. Xu, and Z. Zhang, Automatic eyeglasses removal from face images, IEEE Trans. Pattern Anal. Mach. Intell, vol.26, issue.3, pp.322-336, 2004.

A. Y. Yang, S. S. Sastry, A. Ganesh, and Y. Ma, Fast l1-minimization algorithms and an application in robust face recognition: A review, ICIP, pp.1849-1852, 2010.

A. Y. Yang, J. Wright, Y. Ma, and S. Sastry, Feature selection in face recognition: A sparse representation perspective, 2007.

M. Yang and L. Zhang, Gabor Feature Based Sparse Representation for Face Recognition with Gabor Occlusion Dictionary, Proceedings of the 11th European conference on Computer vision: Part VI, ECCV'10, pp.448-461, 2010.
DOI : 10.1007/978-3-642-15567-3_33

M. Yang, L. Zhang, J. Yang, and D. Zhang, Robust sparse coding for face recognition, CVPR 2011, pp.625-632, 2011.
DOI : 10.1109/CVPR.2011.5995393

Y. Yang and M. D. Levine, The background primal sketch: An approach for tracking moving objects, Machine Vision and Applications, vol.23, issue.1, pp.17-34, 1992.
DOI : 10.1007/BF01213527

L. Yin, X. Chen, Y. Sun, T. Worm, and M. Reale, A high-resolution 3D dynamic facial expression database, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition, pp.1-6, 2008.
DOI : 10.1109/AFGR.2008.4813324

L. Yin, X. Wei, Y. Sun, J. Wang, and M. J. Rosato, A 3d facial expression database for facial behavior research. Automatic Face and Gesture Recognition, IEEE International Conference on, pp.211-216, 2006.

B. Zhang, S. Shan, X. Chen, and W. Gao, Histogram of Gabor Phase Patterns (HGPP): A Novel Object Representation Approach for Face Recognition, IEEE Transactions on Image Processing, vol.16, issue.1, pp.57-68, 2007.
DOI : 10.1109/TIP.2006.884956

W. Zhang, S. Shan, X. Chen, and W. Gao, Local Gabor Binary Patterns Based on Kullback–Leibler Divergence for Partially Occluded Face Recognition, IEEE Signal Processing Letters, vol.14, issue.11, pp.14875-878, 2007.
DOI : 10.1109/LSP.2007.903260

W. Zhang, S. Shan, W. Gao, X. Chen, and H. Zhang, Local gabor binary pattern histogram sequence (lgbphs): A novel non-statistical model for face representation and recognition, Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) ICCV '05, pp.786-791, 2005.

Z. Zhang, Microsoft Kinect Sensor and Its Effect, IEEE Multimedia, vol.19, issue.2, pp.4-10, 2012.
DOI : 10.1109/MMUL.2012.24

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

Z. Zhou, A. Wagner, H. Mobahi, J. Wright, and Y. Ma, Face recognition with contiguous occlusion using markov random fields, Computer Vision IEEE 12th International Conference on, pp.1050-1057, 2009.

X. Zou, J. Kittler, and K. Messer, Illumination Invariant Face Recognition: A Survey, 2007 First IEEE International Conference on Biometrics: Theory, Applications, and Systems, pp.1-8, 2007.
DOI : 10.1109/BTAS.2007.4401921

R. Min, K. Neslihan, and J. Dugelay, KinectFaceDB: A Kinect Database for Face Recognition, submitted to IEEE Transaction on System, Man, and Cybernetics: Systems (T-SMC-S). special issue on " Biometric Systems and Applications, 2013.
DOI : 10.1109/TSMC.2014.2331215

R. Min and J. Dugelay, Depth assisted 2d face recognition under partial occlusions, submitted to ICIP 2013, IEEE International Conference on Image Processing, pp.15-18

R. Min and J. Dugelay, Inpainting of sparse occlusion in face recognition, 2012 19th IEEE International Conference on Image Processing, 2012.
DOI : 10.1109/ICIP.2012.6467137

R. Min and J. Dugelay, Cap detection for moving people in entrance surveillance, Proceedings of the 19th ACM international conference on Multimedia, MM '11, 2001.
DOI : 10.1145/2072298.2071987

R. Min and J. Dugelay, Improved combination of LBP and sparse representation based classification (SRC) for face recognition, ICME 2011, IEEE International Conference for Multimedia and Expo, 2011.

C. Velardo, J. Dugelay, L. Daniel, A. Dantcheva, N. Erdogmus et al., Introduction to biometry. Book chapter, Multimedia Image and Video Processing, pp.978-1439830864, 2011.

R. Min, A. Hadid, and J. Dugelay, Improving the recognition of faces occluded by facial accessories, Face and Gesture 2011, 2011.
DOI : 10.1109/FG.2011.5771439

M. Ouaret, A. Dantcheva, R. Min, L. Daniel, and J. Dugelay, BIOFACE, a biometric face demonstrator, ACMMM 2010, 2010.

R. Min, A. D. , and J. Dugelay, Efficient scarf detection prior to face recognition List of Figures 1.1 Examples of facial occlusion in different categories: (a) occlusions in daily life; (b) occlusion related to safety issues; (c) occlusion related to security issues, EUSIPCO 2010, 18th European Signal Processing Conference, 2010.

P. Results-of, L. Oa-pca, L. Oa-lbp, and K. , OA- LGBPHS and RSC on three different testing sets (faces are clean and faces occluded by scarf and sunglasses), p.52

. Summary and 3. Off-the-shelf, 81 5.2 2D Face Recognition using 88 5.3 2D Face Recognition using, p.89