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, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.12, pp.2037-2041, 2006.
DOI : 10.1109/TPAMI.2006.244

J. Alexander and J. Smith, Engineering privacy in public: Confounding face recognition, privacy enhancing technologies. International Workshop on Privacy Enhancing Technologies, pp.88-106, 2003.
DOI : 10.1007/978-3-540-40956-4_7

URL : https://works.bepress.com/jms/54/download/

N. Almoussa, Variational retinex and shadow removal, p.48, 2008.

M. Angeloglou, A History of Make-up, p.85, 1970.

J. Bai, T. Ng, X. Gao, and Y. Shi, Is physics-based liveness detection truly possible with a single image?, Proceedings of 2010 IEEE International Symposium on Circuits and Systems, pp.3425-3428, 2010.
DOI : 10.1109/ISCAS.2010.5537866

W. Bao, H. Li, and N. Li, A liveness detection method for face recognition based on optical flow field, Int. Conf. on Image Analysis and Signal Processing, issue.11, pp.233-236, 2009.

F. Barak, S. Alexander, M. Meir, and A. , Depth mapping using projected patterns, p.104, 2010.

I. B. Barbosa, M. Cristani, A. D. Bue, L. Bazzani, and V. Murino, Reidentification with rgb-d sensors, pp.433-442, 2012.
DOI : 10.1007/978-3-642-33863-2_43

P. N. Bellhumer, J. Hespanha, and D. Kriegman, Eigenfaces vs. fisherfaces: Recognition using class specific linear projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.100, pp.711-720, 1997.

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

J. R. Beveridge, G. H. Givens, P. J. Phillips, B. A. Draper, D. S. Bolme et al., FRVT 2006: Quo Vadis face quality, Image and Vision Computing, vol.28, issue.5, pp.732-743, 2010.
DOI : 10.1016/j.imavis.2009.09.005

H. S. Bhatt, S. Bharadwaj, R. Singh, M. Vatsa, and A. Noore, Evolutionary granular approach for recognizing faces altered due to plastic surgery, Face and Gesture 2011, pp.720-725, 2011.
DOI : 10.1109/FG.2011.5771337

F. L. Bookstein, Principal warps: thin-plate splines and the decomposition of deformations, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.11, issue.6, pp.567-585, 1989.
DOI : 10.1109/34.24792

A. Bottino, M. D. Simone, and A. Laurentini, A Computer-Aided Technique for Planning Plastic Surgery Based on 3D Face Scans: Preliminary Results, Proceedings of the 1st International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 19-20 October 2010, p.64, 2010.
DOI : 10.15221/10.213

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

C. Herrera, C. , J. Kannala, and J. Heikkilä, Accurate and Practical Calibration of a Depth and Color Camera Pair, 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, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.10, pp.2058-2064, 2012.
DOI : 10.1109/TPAMI.2012.125

M. Chakka, A. Anjos, and S. Marcel, Competition on counter measures to 2-D facial spoofing attacks, 2011 International Joint Conference on Biometrics (IJCB), pp.1-6, 2011.
DOI : 10.1109/IJCB.2011.6117509

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

C. Chang and C. Lin, LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.1-2727, 2011.
DOI : 10.1145/1961189.1961199

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

G. Chetty and M. Wagner, Multi-Level Liveness Verification for Face-Voice Biometric Authentication, 2006 Biometrics Symposium: Special Session on Research at the Biometric Consortium Conference, pp.1-6, 2006.
DOI : 10.1109/BCC.2006.4341615

T. Choudhury, B. Clarkson, T. Jebara, and A. Pentland, Multimodal person recognition using unconstrained audio and video, Proc. of International Conference on Audio-Visual Biometric Person Authentication, pp.176-181, 1999.

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

A. Dantcheva, C. Chen, and A. Ross, Can facial cosmetics affect the matching accuracy of face recognition systems?, 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.2012-93
DOI : 10.1109/BTAS.2012.6374605

A. Dantcheva and J. Dugelay, Female facial aesthetics based on soft biometrics and photo-quality, IEEE International Conference for Multimedia and Expo (ICME), p.89, 2011.

A. Dantcheva, C. Velardo, A. D. Angelo, and J. Dugelay, Bag of soft biometrics for person identification, Multimedia Tools and Applications, vol.25, issue.12, pp.739-777, 2011.
DOI : 10.1007/s11042-010-0635-7

J. Daugman, How Iris Recognition Works, IEEE Transactions on Circuits and Systems for Video Technology, vol.14, issue.1, pp.21-30, 2004.
DOI : 10.1109/TCSVT.2003.818350

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

M. Eckert, N. Kose, and J. Dugelay, Facial cosmetics database and impact analysis on automatic face recognition, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), pp.434-439, 2013.
DOI : 10.1109/MMSP.2013.6659328

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.225-230, 2012.
DOI : 10.1109/ICIEV.2012.6317338

URL : https://hal.archives-ouvertes.fr/hal-00782207

N. Erdogmus, N. Kose, and J. Dugelay, Impact analysis of nose alterations on 2D and 3D face recognition, 2012 IEEE 14th International Workshop on Multimedia Signal Processing (MMSP), pp.354-359
DOI : 10.1109/MMSP.2012.6343468

URL : https://hal.archives-ouvertes.fr/hal-00782204

N. Erdogmus and S. Marcel, Spoofing in 2D face recognition with 3D masks and anti-spoofing with Kinect, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.1-6
DOI : 10.1109/BTAS.2013.6712688

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. C. Faltemier, K. W. Bowyer, and P. J. 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

G. Farinella and J. Dugelay, Demographic classification: Do gender and ethnicity affect each other?, 2012 International Conference on Informatics, Electronics & Vision (ICIEV), pp.2012-109
DOI : 10.1109/ICIEV.2012.6317383

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, p.97, 2012.
DOI : 10.1109/EMBC.2012.6346340

A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman, From few to many: illumination cone models for face recognition under variable lighting and pose, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.23, issue.6, pp.643-660, 2001.
DOI : 10.1109/34.927464

R. Gross, Face databases In Handbook of Face Recognition, p.98, 2005.

Z. Guo, L. Zhang, and D. Zhang, Rotation invariant texture classification using LBP variance (LBPV) with global matching, Pattern Recognition, vol.43, issue.3, pp.706-719, 2010.
DOI : 10.1016/j.patcog.2009.08.017

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

J. Harguess and J. K. Aggarwal, A case for the average-half-face in 2D and 3D for face recognition, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.7-12, 2009.
DOI : 10.1109/CVPRW.2009.5204304

P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox, RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments, The International Journal of Robotics Research, vol.1883, issue.1, pp.31647-663, 2012.
DOI : 10.1023/A:1008854305733

M. Hernandez, J. Choi, and G. Medioni, Laser scan quality 3-d face modeling using a low-cost depth camera, Proceedings of the European Signal Processing Conference, p.110, 1995.

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, p.114, 2012.
DOI : 10.1007/978-3-642-37410-4_12

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, H. Lin, and R. Bolle, On-line fingerprint verification, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, issue.4, pp.302-314, 1997.
DOI : 10.1109/34.587996

URL : http://biometrics.cse.msu.edu/Publications/Fingerprint/JainHongBolle_OnlineFPVerification_PAMI.pdf

A. K. Jain, S. C. Dass, and K. Nandakumar, Soft Biometric Traits for Personal Recognition Systems, Biometric Authentication, pp.731-738, 2004.
DOI : 10.1007/978-3-540-25948-0_99

URL : http://biometrics.cse.msu.edu/JainDassNandakumar_ICBA2004.pdf

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. A. Kakadiaris, G. Passalis, G. Toderici, M. N. Murtuza, L. Yunliang 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

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
DOI : 10.3390/s120201437

Y. Kim, J. Na, S. Yoon, and J. Yi, Masked fake face detection using radiance measurements, Journal of the Optical Society of America A, vol.26, issue.4, pp.760-766, 2009.
DOI : 10.1364/JOSAA.26.000760

R. Kimmel, M. Elad, D. Shaked, R. Keshet, and I. Sobel, A variational framework for retinex, International Journal of Computer Vision, vol.47, pp.7-23, 2003.

N. G. Kingsbury, Rotation-invariant local feature matching with complex wavelets, Proc. of European Signal Processing Conference (EUSIPCO), pp.4-8, 2006.

K. Kollreider, H. Fronthaler, and J. Bigun, Evaluating Liveness by Face Images and the Structure Tensor, Fourth IEEE Workshop on Automatic Identification Advanced Technologies (AutoID'05), pp.75-80, 2005.
DOI : 10.1109/AUTOID.2005.20

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

K. Kollreider, H. Fronthaler, and J. Bigun, Verifying liveness by multiple experts in face biometrics, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1-6, 2008.
DOI : 10.1109/CVPRW.2008.4563115

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

N. Kose and J. Dugelay, Classification of captured and recaptured images to detect photograph spoofing, 2012 International Conference on Informatics, Electronics & Vision (ICIEV), pp.1027-1032, 2012.
DOI : 10.1109/ICIEV.2012.6317336

N. Kose and J. Dugelay, Countermeasure for the protection of face recognition systems against mask attacks, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), pp.1-6
DOI : 10.1109/FG.2013.6553761

N. Kose and J. Dugelay, On the vulnerability of face recognition systems to spoofing mask attacks, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2357-2361
DOI : 10.1109/ICASSP.2013.6638076

N. Kose and J. Dugelay, Reflectance analysis based countermeasure technique to detect face mask attacks, 2013 18th International Conference on Digital Signal Processing (DSP), pp.1-6
DOI : 10.1109/ICDSP.2013.6622704

N. Kose and J. Dugelay, Shape and Texture Based Countermeasure to Protect Face Recognition Systems against Mask Attacks, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.111-116
DOI : 10.1109/CVPRW.2013.24

N. Kose and J. Dugelay, Mask spoofing on face recognition and countermeasures . Elsevier -Image and Vision Computing Journal, under review, pp.44-45, 2014.
DOI : 10.1016/j.imavis.2014.06.003

N. Kose, N. Erdogmus, and J. Dugelay, Block based face recognition approach robust to nose alterations, 2012 IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS), pp.121-126, 2012.
DOI : 10.1109/BTAS.2012.6374566

URL : https://hal.archives-ouvertes.fr/hal-00782194

K. Lee, J. Ho, M. Yang, and D. Kriegman, Video-based face recognition using probabilistic appearance manifolds, Proceedings of the IEEE computer society conference on Computer vision and pattern recognition, pp.313-320, 2003.

K. Lee, J. Ho, M. Yang, and D. Kriegman, Visual tracking and recognition using probabilistic appearance manifolds, Computer Vision and Image Understanding, vol.99, issue.3, pp.303-331, 2005.
DOI : 10.1016/j.cviu.2005.02.002

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

T. Lee, Y. Sun, Y. Lin, L. Lin, and C. Lee, Three-dimensional facial model reconstruction and plastic surgery simulation, IEEE Transactions on Information Technology in Biomedicine, pp.214-220, 1999.

J. Li, Y. Wang, and T. Tan, Live face detection based on the analysis of fourier spectra, Proceedings of the SPIE, pp.296-303, 2004.

J. Liu, J. Chen, and J. Ye, Large-scale sparse logistic regression, Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD '09, p.29, 2009.
DOI : 10.1145/1557019.1557082

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

Y. Liu, R. L. Weaver, K. Schmidt, N. Serban, and J. Cohn, Facial asymmetry: A new biometric, p.116, 2001.

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

X. Lu, H. Chen, and A. K. Jain, Multimodal Facial Gender and Ethnicity Identification, pp.554-561, 2006.
DOI : 10.1007/11608288_74

J. Määtta, 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. Määtta, A. Hadid, and M. Pietikainen, Face spoofing detection from single images using texture and local shape analysis, IET Biometrics, vol.12, pp.3-10, 2012.

M. D. Marsico, M. Nappi, D. Riccio, and J. Dugelay, Moving face spoofing detection via 3D projective invariants, 2012 5th IAPR International Conference on Biometrics (ICB), pp.73-78, 2012.
DOI : 10.1109/ICB.2012.6199761

M. D. Marsico, M. Nappi, D. Riccio, and H. Wechsler, Robust face recognition after plastic surgery using local region analysis. Lecture Notes in Computer Science -Image Analysis and Recognition, pp.191-200, 2011.

A. M. Martinez and R. Benavente, The ar face database, CVC Technical Report, vol.100, issue.108, pp.99-115, 1998.

L. Z. Mcarthur and K. Apatow, Impressions of Baby-Faced Adults, Social Cognition, vol.2, issue.4, pp.315-342, 1984.
DOI : 10.1521/soco.1984.2.4.315

G. Medioni and R. Waupotitsch, Face modeling and recognition in 3-D, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443), pp.232-111, 2003.
DOI : 10.1109/AMFG.2003.1240848

K. Messer, J. Matas, J. Kittler, and K. Jonsson, Xm2vtsdb: The extended m2vts database, 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, International Conference on Pattern Recognition (ICPR), pp.1739-1742, 2012.

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, Biometrics on the Internet, pp.77-85, 2004.

B. C. Munsell, A. Temlyakov, C. Qu, and S. Wang, Person Identification Using Full-Body Motion and Anthropometric Biometrics from Kinect Videos, pp.91-100, 2012.
DOI : 10.1007/978-3-642-33885-4_10

T. Ojala, M. Pietikainen, and T. Maenpaa, 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=

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

S. Pamudurthy, E. Guan, K. Mueller, and M. Rafailovich, Dynamic approach for face recognition using digital image skin correlation. Audio and Video based Biometric Person Authentication, pp.1010-1018, 2005.
DOI : 10.1007/11527923_105

G. Pan, L. Sun, Z. Wu, and S. Lao, Eyeblink-based antispoofing in face recognition from a generic webcamera, IEEE Int. Conf. on Computer Vision (ICCV), pp.1-8, 2007.

D. I. Perrett, D. M. Burt, I. S. Voak, K. J. Lee, D. A. Rowland et al., Symmetry and Human Facial Attractiveness, Evolution and Human Behavior, vol.20, issue.5, pp.295-307, 1999.
DOI : 10.1016/S1090-5138(99)00014-8

P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. 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, H. Moon, P. Rauss, and S. A. Rizvi, The feret evaluation methodology for face-recognition algorithms, Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR), pp.137-143, 1997.

J. Preis, M. Kessel, M. Werner, and C. Linnhoff-popien, Gait recognition with kinect, Proceedings of the First Workshop on Kinect in Pervasive Computing, p.97, 2012.

T. Rasa-project, http : //www.tabularasa ? euproject, pp.44-121, 2010.

S. A. Rabi and P. Aarabi, Face Fusion: An Automatic Method For Virtual Plastic Surgery, 2006 9th International Conference on Information Fusion, pp.1-7, 2006.
DOI : 10.1109/ICIF.2006.301579

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

N. Ramanathan, A. Chowdhury, and R. Chellappa, Facial similarity across age disguise illumination and pose, 2004 International Conference on Image Processing, 2004. ICIP '04., pp.1999-2002, 2004.
DOI : 10.1109/ICIP.2004.1421474

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

G. Rhodes, A. Sumich, and G. Byatt, Are Average Facial Configurations Attractive Only Because of Their Symmetry?, Psychological Science, vol.22, issue.1, pp.52-58, 1999.
DOI : 10.1111/j.1467-9280.1996.tb00338.x

E. Rosten and T. Drummond, Machine Learning for High-Speed Corner Detection, pp.430-443, 2006.
DOI : 10.1007/11744023_34

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

F. S. Samaria and A. C. Harter, Parameterisation of a stochastic model for human face identification, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision, pp.138-142, 1994.
DOI : 10.1109/ACV.1994.341300

A. Savran, N. Alyüz, H. Dibeklio?lu, O. Çeliktutan, B. Gökberk et al., Biometrics and identity management. Bosphorus Database for 3D Face Analysis, pp.47-56, 2008.

K. Scherbaum, T. Ritschel, M. Hullin, T. Thormählen, V. Blanz et al., Computer-Suggested Facial Makeup, Proc. of Eurographics, pp.2011-85, 2011.
DOI : 10.1111/j.1467-8659.2011.01874.x

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

H. Sellahewa and S. A. Jassim, Image-Quality-Based Adaptive Face Recognition, IEEE Transactions on Instrumentation and Measurement, vol.59, issue.4, pp.805-813, 2010.
DOI : 10.1109/TIM.2009.2037989

URL : http://bear.buckingham.ac.uk/32/8/HSellahewa_SAJassim_revised.pdf

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 IEEE Conference on Computer Vision and Pattern Recognition, pp.1297-1304, 2011.
DOI : 10.1007/978-3-642-28661-2_5

P. Silva and A. Rosa, Face recognition based on eigeneyes. Pattern Recognition and Image Analysis, pp.335-338, 2003.

K. R. Singh, R. S. Khedgaonkar, and S. P. Gawande, A new approach to local plastic surgery face recognition using near sets, International Journal of Engineering Science and Technology, NCICT Special Issue, vol.17, pp.71-75, 2011.

R. Singh and M. Vatsa, Effect of plastic surgery on face recognition: A preliminary study, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.72-77, 2009.
DOI : 10.1109/CVPRW.2009.5204287

R. Singh, M. Vatsa, H. S. Bhatt, S. Bharadwaj, A. Noore et al., Plastic Surgery: A New Dimension to Face Recognition, IEEE Transactions on Information Forensics and Security, vol.5, issue.3, pp.441-448, 2010.
DOI : 10.1109/TIFS.2010.2054083

R. Singh, M. Vatsa, and A. Noore, Face recognition with disguise and single gallery images, Image and Vision Computing, vol.27, issue.3, pp.245-257, 2008.
DOI : 10.1016/j.imavis.2007.06.010

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

R. Singh, M. Vatsa, and A. Noore, Recognizing face images with disguise variations. Recent Advances in Face Recognition, pp.149-160, 2008.

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

X. Tan, Y. Li, J. Liu, and L. Jiang, Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model, Proc. of the European conference on Computer vision, pp.504-517, 2010.
DOI : 10.1007/978-3-642-15567-3_37

K. Behind, A Guide to Plastic Surgery, p.62

C. Tomasi and R. Manduchi, Bilateral filtering for gray and color images, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), pp.839-846, 1998.
DOI : 10.1109/ICCV.1998.710815

R. Tsai, An efficient and accurate camera calibration technique for 3d machine vision. Computer Vision and Pattern Recognition, p.105, 1986.

S. Ueda and T. Koyama, Influence of Make-up on Facial Recognition, Perception, vol.7, issue.2, pp.260-264, 2010.
DOI : 10.1068/p6634

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

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

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, IEEE International Conference on Computer Vision (ICCV), 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

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

Z. Zhang and D. Yi, Face liveness detection by learning multispectral reflectance distributions, Face and Gesture 2011, pp.436-441, 2011.
DOI : 10.1109/FG.2011.5771438

J. Zhao, H. Wang, H. Ren, and S. Kee, Lbp discriminant analysis for face verification, Proc. of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPRW), pp.167-173, 2005.

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

M. Zollhöfer, M. Martinek, G. Greiner, M. Stamminger, and J. Sübmuth, Automatic reconstruction of personalized avatars from 3D face scans, Computer Animation and Virtual Worlds, vol.26, issue.3, pp.195-202, 2011.
DOI : 10.1002/cav.405