Video-Based Face Recognition: A Survey

• Main Authors: Huafeng Wang, Yunhong Wang, Cao, Yuan
• Format: Text
• Language: English
• Published: Zenodo 2009
• Subjects: Face recognition; video-based; survey; Andreas; Canada; Hager; Head Island; Hilton; Moreno; Moses; Ojala; Thornton; ren
• Online Access: https://dx.doi.org/10.5281/zenodo.1084454; https://zenodo.org/record/1084454

During the past several years, face recognition in video has received significant attention. Not only the wide range of commercial and law enforcement applications, but also the availability of feasible technologies after several decades of research contributes to the trend. Although current face recognition systems have reached a certain level of maturity, their development is still limited by the conditions brought about by many real applications. For example, recognition images of video sequence acquired in an open environment with changes in illumination and/or pose and/or facial occlusion and/or low resolution of acquired image remains a largely unsolved problem. In other words, current algorithms are yet to be developed. This paper provides an up-to-date survey of video-based face recognition research. To present a comprehensive survey, we categorize existing video based recognition approaches and present detailed descriptions of representative methods within each category. In addition, relevant topics such as real time detection, real time tracking for video, issues such as illumination, pose, 3D and low resolution are covered. : {"references": ["W.Y. Zhao, R. Chellappa, A. Rosenfeld, P.J. Phillips, Face Recognition: A\nLiterature Survey, ACM Computing Surveys,Vol:35, 2003.", "G. Aggarwal, A. R. Chowdhury, R. Chellappa, A system identification\napproachfor video-based face recognition, in: 17th International\nConference on PatternRecognition, Vol. 4, 2004, pp. 175- 178.", "B. Moghaddam and A. Pentland, \"Probabilistic Visual Learning for Object\nRepresentation,\" IEEE Trans. Pattern Analysis and Machine\nIntelligence, vol. 19, no. 7, pp. 696-710, July 1997.", "H.A. Rowley, S. Baluja, and T. Kanade, \"Neural Network-Based Face\nDetection,\" IEEE Trans. Pattern Analysis and Machine Intelligence, vol.\n20, no. 1, pp. 23-38, Jan. 1998.", "B. Heisele, T. Poggio, and M. Pontil, \"Face Detection in Still Gray\nImages,\" A.I. memo AIM-1687, Artificial Intelligence Laboratory, MIT,\n2000.", "Ti-QiongXu; Bi-Cheng Li; Bo Wang, Face detection and recognition\nusing neural network and hidden Markov models, Proceedings of the\n2003 International Conference on Neural Networks and Signal\nProcessing, pp. 228 - 231,2003.", "P. Viola and M. Jones, \"Rapid Object Detection Using a Boosted Cascade\nof Simple Features,\" Proc. Conf. Computer Vision and Pattern\nRecognition, pp. 511-518, 2001.", "R.L. Hsu, M. Abdel-Mottaleb, and A.K. Jain, \"Face Detection in Color\nImages,\" Proc. Int'l Conf. Image Processing, pp. 1046-1049, 2001.", "Z. Liu and Y. Wang, \"Face Detection and Tracking in Video Using\nDynamic Programming\" Proc. Int'l Conf. Image Processing, 2000.\n[10] L. Silva, K. Aizawa and M. Hatori. \"Detection and Tracking of Facial\nFeatures\". Proc. Of SPIE Visual Communications and Image Processing,\nTaiwan. May, 1995.\n[11] M. Han, A. Sethi, and Y. Gong. A detection-based multiple object\ntracking method. In Proc. Int. Conf. Image Process. (ICIP), pages\n3065-3068, Singapore, Oct. 2004.\n[12] D. Ramanan and D. Forsyth. Using temporal coherence to build models\nof animals. In Proc. Int. Conf. Comp. Vision(ICCV), pages 338-346,\nNice, France, Oct. 2003.\n[13] D. Maio and D. Maltoni. Real-time face location on grayscale static\nimages. Pattern Recognition, 33:1525-1539, September 2000.\n[14] Mikolajczyk, K.; Choudhury, R.; Schmid, C. ,Face detection in a video\nsequence-a temporal approach, Proceedings of the 2001 IEEE Computer\nSociety Conference on Computer Vision and Pattern Recognition, Vol 2,\npp: 96-101, 2001.\n[15] Zhenqiu Zhang; Potamianos, G.; Ming Liu; Huang, T., Robust\nMulti-View Multi-Camera Face Detection inside Smart Rooms Using\nSpatio-Temporal Dynamic Programming, 7th International Conference\non Automatic Face and Gesture Recognition, 2-6 April 2006 Page(s):407\n- 412.\n[16] J. Yang and A.Waibel. A real-time face tracker. In Proceedings of the\nThird IEEE Workshop on Applications of Computer Vision, pages\n142-147, Sarasota, FL, 1996.\n[17] G. Bradski. Computer vision face tracking for use in a perceptual user\ninterface. Technical Report Q2, Intel Corporation, Microcomputer\nResearch Lab, Santa Clara, CA, 1998.\n[18] H. Schneiderman and T. Kanade. \"A statistical method for 3d object\ndetection applied to faces and cars\". In Proceedings of IEEE Computer\nSociety Conference on Computer Vision and Pattern Recognition, 2000.\n[19] J. Feraud, O. Bernier, and M. collobert. \"A fast and accurate face detector\nfor indexation of face images\". In Proc. Fourth IEEE Computer Society\nConference on Computer Vision and Pattern Recognition, pages 52-59,\n1998.\n[20] S. Gong, S.McKenna, and J.Collins. \"An investigation into face pose\ndistribution\". In Proc. IEEE International Conference on Face and\nGesture Recognition, Vermont,1996.\n[21] ZhenQiu Zhang; Long Zhu; Li, S.Z.; HongJiang Zhang,Real-time\nmulti-view face detection, Fifth IEEE International Conference on\nAutomatic Face and Gesture Recognition, pp:142-147,2002.\n[22] P. Viola and M.J. Jones, \"Robust real-time object detection\", IEEE ICCV\nWorkshop on Statistical and Computational Theories of Vision.\nVancouver, Canada. July 13, 2001.\n[23] S. Z. Li, Z. Q. Zhang, \"FloatBoost Learning and Statistical Face\nDetection\", IEEE Transactions on Pattern Analysis and Machine\nIntelligence, VOL. 26, NO. 9, September, 2004.\n[24] Yan Wang; Yanghua Liu; Linmi Tao; Guangyou Xu ,Real-time\nmulti-view face detection and pose estimation in video stream, 18th\nInternational Conference on Pattern Recognition ,pp: 354 - 357,2006.\n[25] M. Nakamura, H. Nomiya and K. Uehara, \"Improvement of boosting\nalgorithm by modifying the weighting rule\", Annals of Mathematics and\nArtificial Intelligence, 41:95-109,2004.\n[26] C.J. Edward, C.J. Taylor, and T.F. Cootes, \"Learning to Identify and\nTrack Faces in an Image Sequence,\" Proc. Int'l Conf. Automatic Face and\nGesture Recognition, pp. 260-265, 1998.\n[27] K. Toyama and A. Blake, \"Probabilistic Exemplar Based Tracking in a\nMetric Space,\" Proc. Int'l Conf. Computer Vision, vol. 2, pp. 50-57,\n2001.\n[28] Hongliang Li, King N. Ngan, Saliency model-based face segmentation\nand tracking in head-and-shoulder video sequences, Visual\nCommunication & Image Representation, 2008,Vol.19(No.5).\n[29] G.D. Hager and P.N. Belhumeur, \"Efficient Region Tracking with\nParametric Models of Geometry and Illumination\", IEEE Transactions\non Pattern Analyvsis and Machine Intelligence, vol. 20, 1998, pp\n1025-1039.\n[30] T. Cootes, G. Edwards and C.Taylor, \"Active Appearance Models\",IEEE\nTransactions on Pattern Analysis and Machine Intelligence, vol. 23,\n2001, pp 681-685.\n[31] Ahlberg J ,An Active Model for Facial Feature Tracking EURASIP\nJournal on Applied Signal Processing 2002,pp: 566-571.\n[32] J Saragih, R Goecke, Monocular and Stereo Methods for AAM Learning\nfrom Video CVPR '07. IEEE Conference on Computer Vision and\nPattern Recognition, pp:1-8,2007.\n[33] M. Isard and A. Blake, \"Condensation - Condition Density Propagation\nfor Visual Tracking\", Int. J. Coo puter Vision, vol. 29, 1998, pp. 5-28.\n[34] K.-H. Seo, J-Y. Lee and J.J. Lee, \"Adaptive Color Snake Tracker using\nCondensation Algorithm\", IEEE 5th Asian Control Conference, 2004.\n[35] Hyung-Soo Lee, Daijin Kim, Robust face tracking by integration of two\nseparate trackers: Skin Color and facial shape, Pattern Recognition 40\n(2007) ,pp:3225 - 3235\n[36] Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris Samaras,\nIntegration of deformable contours and a multiple hypotheses Fisher\ncolor model for robust racking in varying illuminate environments,\nImage and Vision Computing 25 (2007),pp: 285-296.\n[37] Ying Ren, Chin Seng Chua,Bilateral learning for color-based tracking,\nImage and Vision Computing 26 (2008),pp:1530-1539.\n[38] Jwu-Sheng Hu, Chung-Wei Juan, Jyun-Ji Wang,A Spatial-color\nmean-shift object tracking algorithm with scale and orientation\nestimation, Pattern Recognition Letters 29 ,2008 pp:2165-2173.\n[39] Yan Tong, YangWang, Zhiwei Zhu, Qiang Ji ,Robust facial feature\ntracking under varying face pose and facial expression, Pattern\nRecognition 40 (2007), pp: 3195 - 3208.\n[40] Tu JL, Tao H, Huang T;Face as mouse through visual face tracking;\nComputer Vision And Image Understanding; Vol:108(1-2),pp: 35-40,\n2007.\n[41] Christian Kublbeck, Andreas Ernst, Face detection and tracking in video\nsequences using the modified census transformation, Image and Vision\nComputing 24 (2006), pp: 564-572.\n[42] Brais Martinez, Xavier Binefa, Piecewise affine kernel tracking for\nnon-planar targets, Pattern Recognition 41 (2008), pp: 3682 - 3691.\n[43] Indra Adji Sulistijono, Naoyuki Kubota, Evolutionary Robot Vision and\nParticle Swarm Optimization for Multiple Human Heads Tracking of A\nPartner Robot; 2007 IEEE Congress On Evolutionary Computation,\nVol:1-10, pp: 1535-1541,2007.\n[44] Yonggang Jin, Farzin Mokhtarian Data Fusion for Robust Head Tracking\nby Particles, Proceedings 2nd Joint IEEE International Workshop on\nVS-PETS, 2005.\n[45] Wenlong Zheng, Suchendra M. Bhandarkar, Face detection and tracking\nusing a Boosted Adaptive Particle Filter, Journal Of Visual\nCommunication And Image Representation; Vol:20(1), pp:9-27,2009.\n[46] S. Birchfield, \"Elliptical Head Tracking Using Intensity Gradients and\nColor Histograms,\" Proc. Conf. Computer Vision and Pattern\nRecognition, pp. 232-237, 1998.\n[47] J. MacCormick and A. Blake, \"A Probabilistic Exclusion Principle for\nTracking Multiple Objects,\" Proc. Int'l Conf. Computer Vision, 1995.\n[48] Y. Raja, S.J. McKenna, and S. Gong, \"Tracking and Segmenting People\nin Varying Lighting Conditions Using Color,\" Proc. Int'l Conf.\nAutomatic Face and Gesture Recognition, pp. 228-233, 1998.\n[49] D. Comaniciu, V. Ramesh, and P. Meer. Real-time tracking of non-rigid\nobjects using mean shift. In Proc. of the CVPR, Hilton Head Island, S.C.,\nU.S.A., 2000. Vol. 2, pp. 142-149.\n[50] M. Isard and A. Blake, \"Condensation-conditional density propagation\nfor visual tracking\", Int. Journal, Computer Vision, vol. 29, no. 1, pp.\n5-28, 1998.\n[51] H. Yao and W. Gao, \"Face locating and tracking method based on\nchroma transform in color images\", Signal Processing Proc.2000 , vol 2.\npp. 1367-1371, 2000.\n[52] F. Huang and T. Chen, \"Tracking of multiple faces for human-computer\ninterfaces and virtual environments,\" Int. Conf. Multimedia, Expo, pp.\n1563-1566, vol. 3, 2000.\n[53] Terrillon, J.-C.Pilpre, A.Niwa, Y.Yamamoto, K. DRUIDE : A\nReal-Time System for Robust Multiple Face Detection, Tracking and\nHand Posture Recognition in Color Video sequences, Proceedings of the\n17th International Conference on Pattern Recognition, ICPR 2004.\n[54] M. L. Cascia and S. Sclaroff. Fast, reliable head tracking under varying\nillumination. In Proc. IEEE Conference on Computer Vision and Pattern\nRecognition, Fort Collins, CO,June 1999.\n[55] A.J. OToole, D.A. Roark, H. Abdi, Recognizing moving faces: a\npsychological and neural synthesis, Trends in Cognitive Science 6\n(2002) 261-266.\n[56] A. Roy Chowdhury, R. Chellappa, R. Krishnamurthy and T.Vo, \"3D\nFace Recostruction from Video Using A Generic Model\", In Proc. of Int.\nConf. on Multimedia and Expo, Lausanne, Switzerland, August 26-29,\n2002.\n[57] S. Baker and T. Kanade, \"Limits on Super-Resolution and How to Break\nThem\", IEEE Transactions on Pattern Analysis and Machine\nIntelligence, Vol. 24, No. 9, September 2002, pp.1167-1183.\n[58] X. Liu, T. Chen and S. M. Thornton, \"Eigenspace Updating for\nNon-Stationary Process and Its Application to Face Recognition\", To\nappear in Pattern Recognition, Special issue on Kernel and Subspace\nMethods for Computer Vision, September 2002.\n[59] G. Shakhnarovich, J. W. Fisher, and T. Darrell. Face recognition from\nlong-term observations. In Proc. European Conf. on Computer Vision,\nvolume 3, pp: 851-865, 2002.\n[60] W. Y. Zhao and R. Chellappa. Symmetric shape-fromshading using\nself-ratio image. Int'l. J. Computer Vision, 45(1) pp:55-75, 2001.\n[61] Y. Li, S. Gong, and H. Liddell. Constructing facial identity surface in a\nnonlinear discriminating space. In Proc. IEEE Conf. on Computer Vision\nand Pattern Recognition, volume 2, pp:258-263, 2001.\n[62] S. Zhou and R. Chellappa. Probabilistic human recognition from video.\nIn Proc. European Conf. on Computer Vision, volume 3, pp: 681-697,\n2002.\n[63] Zhang YB, Martinez AM, A weighted probabilistic approach to face\nrecognition from multiple images and video sequence, Image And Vision\nComputing, Vol 24(6), pp: 626-638,2006.\n[64] V. Kr\u252c\u00bfueger and S. Zhou. Exemplar-based face recognition from video.\nIn Proc. European Conf. on Computer Vision, volume 4, pp: 732-746.\n[65] Y. Li, T. Wang, and H.-Y. Shum. Motion textures: A two level statistical\nmodel for character motion synthesis. In Proc. SIGGRAPH, pp: 465-472,\n2002.\n[66] Kuang-Chih Lee; Ho, J.; Ming-Hsuan Yang; Kriegman, D., video-based\nface recognition using probabilistic appearance manifolds, Proceedings.\n2003 IEEE Computer Society Conference on Computer Vision and\nPattern Recognition, pp. 313-320, 2003.\n[67] S. Zhou, V. Krueger, R. Chellappa, Face recognition from video: A\ncondensation approach, in: IEEE Int. Conf. on Automatic Face and\nGesture Recognition, 2002, pp. 221-228.\n[68] Abdenour Hadid; Matti Pietik?inen; Combining appearance and motion\nfor face and gender recognition from videos, Pattern Recognition,\nVol:42(11),2009,pp: 2818-2827.\n[69] Chellappa, R.; Kruger, V.; Shaohua Zhou, Probabilistic recognition of\nhuman faces from video, 2002 International Conference on Image\nProcessing, Vol 1, 2002, pp. 41-45.\n[70] S. Satoh. Comparative evaluation of face sequence matching for\ncontent-based video access. In IEEE International Conference on\nAutomatic Face & Gesture Recognition, pp:163-168, 2000.\n[71] Gregory Shakhnarovich, Baback Moghaddam Face Recognition in\nSubspaces, Handbook of Face Recognition, 2004.\n[72] L. Wolf and A. Shashua. Kernel principal angles for classification\nmachines with applications to image sequence interpretation. In Proc. of\nIntl. Conf. on Computer Vision and Pattern Recognition, 2003.\n[73] Topkaya, I.S.; Bayazit, N.G.; Improving Face Recognition from Video\nwith Preprocessed Representative Faces, 23rd International Symposium\non Computer and Information Sciences, 2008. ISCIS '08. Page(s):1 - 4.\n[74] Tangelder JWH, Schouten BAM ;Learning a Sparse Representation from\nMultiple Still Images for online face recognition in an Unconstrained\nEnvironment; 18th International Conference on Pattern Recognition, Vol\n3, pp: 1087-1090,2006.\n[75] Vaswani N, Chellappa R; Principal Components Null Space Analysis for\nImage and Video Classification; IEEE Transactions on Image\nProcessing, 2006; pp: 1816-1830.\n[76] S. Soatto, G. Doretto, Y. Wu, Dynamic textures, in: International\nConference on Computer Vision, Vol. 2, Vancouver, BC, Canada, 2001,\npp. 439-446.\n[77] X. Liu and T. Chen, \"Video-based face recognition using adaptive hidden\nmarkov models\", Proc. IEEE Conference on Computer Vision and\nPattern Recognition, Vol. 1: 340-345, 2003.\n[78] Minyoung Kim; Kumar, S.; Pavlovic, V.; Rowley, H.; Face Tracking and\nRecognition with Visual Constraints in Real-World Videos, IEEE\nConference on Computer Vision and Pattern Recognition, 2008. CVPR\n2008, 23-28 June 2008 Page(s):1 - 8.\n[79] C. Shan, S. Gong, P. McOwan, Learning gender from human gaits and\nfaces,IEEE International Conference on Advanced Video and Signal\nbased Surveillance, 2007, pp:505-510.\n[80] Zhou X, Bhanu B ;Feature fusion of side face and gait for video-based\nhuman identification; Pattern Recognition,Vol:41(3); pp: 778-795,2008.\n[81] Christian Micheloni , Sergio Canazza , Gian Luca Foresti; Audio-video\nbiometric recognition for non-collaborative access granting; Visual\nLanguages and Computing,2009.\n[82] M. Balasubramanian , S. Palanivela, and V. Ramalingama; Real time\nface and mouth recognition using radial basis function neural networks;\nExpert Systems with Applications, Vol:36(3), pp: 6879-6888.\n[83] Y Adini, Y Moses, S Ullman,\" Face recognition: the problem of\ncompensating for changes in illumination direction\" ,IEEE Transactions\non Pattern Analysis and Machine, Vol.19: 721-732,1997.\n[84] WY Zhao, R Chellappa \"Illumination-insensitive face recognition using\nsymmetricshape-from-shading\" IEEE Conference on Computer Vision\nand Pattern Recognition, 2000.\n[85] PN Belhumeur, JP Hespanha, DJ Kriegman, \"Eigenfaces vs. Fisherfaces:\nrecognition using class specific linear projection\" IEEE Transactions on\npattern analysis and machine, Vol 19:711-720,1997.\n[86] Bartlett, M. Stewart, & Sejnowski, T., 1997. Viewpoint invariant face\nrecognition using independent Component analysis and attractor\nnetworks. In M. Mozer, M. Jordan, & T. Petsche, Eds.,Advances in\nNeural Information Processing Systems 9. Cambridge, MA: MIT Press:\n817-823.\n[87] Chen, W., Er, M. J., & Wu, S.. Illumination compensation and\nnormalization for robust face recognition using discrete cosine transform\nin logarithm domain. IEEE Transactions on Systems, Man and\nCybernetics - Part B: Cybernetics, 36(2), 458-466,2006.\n[88] Jacobs, D. W., Belhumeur, P. N., & Barsi, R.. Comparing images under\nvariable illumination. In Proceedings, IEEE conference on computer\nvision and pattern recognition pp. 610-617. 1998.\n[89] Nanni, L., & Maio, D. Weighted sub-Gabor for face recognition. Pattern\nRecognition Letters, 28(4), 487-492 2007.\n[90] Liu, D. H., Shen, L. S., Lam, K. M., & Kong, X.. Illumination invariant\nface recognition. Pattern Recognition, 38, 1705-1716.2005.\n[91] Wang, H., Li, S. Z., & Wang, Y. Face recognition under varying lighting\nconditions using self quotient image. In Proceedings of the IEEE\ninternational conference on automatic face and gesture recognition pp.\n819-824,2004.\n[92] Savvides, M., Kumar, B. V., & Khosla, P. K. Corefaces - robust shift\ninvariant PCA based correlation filter for illumination tolerant face\nrecognition. In Proceedings of the international conference on computer\nvision and pattern recognition Vol. 2, pp. 834-841,2004.\n[93] Du, S., & Ward, R. Wavelet based illumination normalization for face\nrecognition. In Proceedings of international conference on image\nprocessing Vol. 2, pp. 954-957,2005.\n[94] Ojala, T., Pietikainen, M., & Maenpaa, T. Multiresolution gray-scale and\nrotation invariant texture classification with local binary patterns. IEEE\nTransactions on Pattern Analysis and Machine Intelligence, 24(7),\n971-987. 2002.\n[95] Zhang, W., Shan, S., Chen, X., & Gao, W. Are Gabor phases really\nuseless for face recognition? In Proceedings of international conference\non pattern recognition Vol. 4, pp. 606-609,2006.\n[96] Tan, X., & Triggs, B. Enhanced local texture feature sets for face\nrecognition under difficult lighting conditions. In Proceedings of the\nIEEE international workshop on analysis and modeling of faces and\ngestures pp. 168-182.2007.\n[97] Georghiades, A., Kriegman, D., & Belhumeur, P. From few to many:\nGenerative models for recognition under variable pose and illumination.\nIEEE Transactions Pattern Analysis and Machine Intelligence, 40,\n643-660. 2001.\n[98] T Vetter, T Poggio, Linear object classes and image synthesis from a\nsingle example image, IEEE Transactions on Pattern Analysis and\nMachine Intelligence, Vol 19: 733-742, 1997.\n[99] L. Wiskott, J. Fellous, N. Kruger, and C. V. malsburg. \"Face recognition\nby elastic bunch graph matching\". IEEE Transactions on Pattern\nAnalysis and Machine Intelligence,19(7):775-779, 1997.\n[100] Freeman, W.T.; Tenenbaum, J.B., Learning bilinear models for\ntwo-factor problems in vision, 1997 IEEE Computer Society Conference\non Computer Vision and Pattern Recognition, 1997, pp. 554 - 560.\n[101] T. Cootes, K. Walker, and C. Taylor. View-based active appearance\nmodels. In Proceedings of the IEEE International Conference on\nAutomatic Face and Gesture Recognition, pages 227-232, 2000.\n[102] I. Matthews, R. Gross, and S. Baker, Appearance-based face recognition\nand light-fields, IEEE Transactions on Pattern Analysis and Machine\nIntelligence, vol. 26, no. 4, pp. 449-465,2004.\n[103] M. Everingham and A. Zisserman, Identifying individuals in video by\ncombinig 'generative' and discriminative head models, in Proceedings of\nthe 10th IEEE International Conference on Computer Vision (ICCV '05),\nvol. 2, pp. 11031110, Beijing,China, October 2005.\n[104] O. Arandjelovic, G. Shakhnarovich, J. Fisher, R. Cipolla, and T. Darrell,\nFace recognition with image sets using manifold density divergence,\nProceedings of the IEEE Computer Society Conference on Computer\nVision and Pattern Recognition (CVPR '05), vol. 1, pp. 581-588, San\nDiego, Calif, USA.\n[105] O. Arandjelovic and R. Cipolla, An illumination invariant face\nrecognition system for access control using video, in Proceedings of the\nBritish Machine Vision Conference (BMVC '04), pp.537-546, Kingston,\nCanada, September 2004.\n[106] Arandjelovic O, Cipolla R A pose-wise linear illumination manifold\nmodel for face recognition using video; Computer Vision And Image\nUnderstanding,Vol:113(1), pp: 113-125,2009.\n[107] Abate AF, Nappi M, Riccio D, et al.; 2D and 3D face recognition: A\nsurvey; Pattern Recognition Letters, Vol:28(15),pp: 1885-1906,2007.\n[108] V. Blanz, T. Vetter, A morphable model for the syntheses of 3D faces, in:\nProceedings of International Conference on Computer Graphics, 1999,\npp. 187-194.\n[109] C. Zhang, F. Cohen, 3-D face structure extraction and recognition from\nimages using 3-D morphing and distance mapping, IEEE Trans. Image\nProcess. 11 (11) (2002).\n[110] Dalong Jiang,Yuxiao Hu, Shuicheng Yan, Lei Zhang, Hongjiang Zhang,\nWen Gao, Efficient 3D reconstruction for face recognition, Pattern\nRecognition 38 (2005), pp:787 - 798\n[111] Sotiris Malassiotis, Michael G. Strintzis, Robust face recognition using\n2D and 3D data: Pose and illumination compensation, Pattern\nRecognition 38 (2005) ,pp:2537 - 2548.\n[112] Y.Cheng, K.Liu, J.Yang, Y.Zhuang and N.Gu, \"Human Face Recogntion\nMethod Based on the Statistical Model of Small Sample Size,\" in\nIntelligent Robots and Computer Vision X: Algorithms and Techniques,\npp.85-95, 1991.\n[113] Arandjelovic O., Cipolla R., Colour invariants for machine face\nrecognition, 8th IEEE International Conference on Automatic Face &\nGesture Recognition, 2008. FG '08. pp: 1-8.\n[114] Jae Young Choi, Yong Man Ro, Konstantinos N. Plataniotis, Feature\nSubspace Determination in Video-based Mismatched Face Recognition,\n8th IEEE International Conference on Automatic Face and Gesture\nRecognition (FG 2008).\n[115] Xiaoli Zhou; Bhanu B ,Human Recognition Based on Face Profiles in\nVideo, IEEE Computer Society Conference on Computer Vision and\nPattern Recognition - Workshops, 2005. CVPR Workshops. Pp:15.\n[116] Tse-Wei Chen, Shou-Chieh Hsu, Shao-Yi Chien, Feature-based Face\nScoring in Surveillance Systems, Ninth IEEE International Symposium\non Automatic Multimedia, 2007. pp: 139-146."]}