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严严等基于视频的人脸识别研究进展 [22] Yan Y, Zhang YJ. State-of-the-art on video-based face rec [36] Me Kenna S, Gong S, Raja Y. Face recognition in dynamic ognition. Encyclopedia of Artificial Intelligence, 2008, 1455- scenes// Proceedings of the British Machine vision Confer- [23] Jia H X, Zhang YJ. Human detection in static images//Ver- [37] Park U, Jain A K, Ross A. Face recognition in video: Adap- ma B, Blumenstein M. Pattern Recognition Technologies and tive fusion of multiple matchers// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition [24] Liu X M, Zhang YJ, Tan H C. A new Hausdorff distance Minneapolis, 2007: 1-8 based approach for face localization. Sciencepaper Online [38] Wolf L, Shashua A. Kernel principal angles for classification 2005,200512662(1-9) machines with applications to image sequence interpreta- [25 Srikantaswamy R, Samuel R D S. A novel face segmentation tion// Proceedings of the IEEE Conference on Computer Vi algorithm from a video sequence for real-time face recogni sion and Pattern Recognition. Madison, 2003: 635-642 tion. EU RASIP Journal on Advances in Signal Processi 139 Fan W, Yeung D Y, Locally linear models on face appear- 2007.2007:1-6 fication/ Proceedings of the IEEE Conference on Computer 26] Wechsler H, Kakkad V, Huang J, Gutta S, Chen V. Vision and Pattern Recognition. New York. 2006: 1384- atic video based person authentication using the RB work// Proceedings of the International Conference on audior [40 Tenenbaum J B, Silva V D, Langford J C. A global geomet- and Video-Based Person Aut hentication. Crans- Montana ric framework for nonlinear dimensionality reduction. Sci- 997:8592 ence,2000,290(5500):23192323 [27 Steffens J, Elagin E, Neven H. PersonSpotter: Fast and ro- [41]Moghaddam B, Jebara T, Pentland A. Bayesian face recogni- bust system for human detection, tracking and recognition// tion. Pattern Recognition, 2000, 33(11): 1771-1782 Proceedings of the 3rd IEEE International Conference on a 142 Xu Y, Roy-Chowdhury A, Patel K. Pose and illuminatio tomatic Face and Gesture Recognition. Nara. 1998: 516-521 ariant face recognition in video// Proceedings of the IEEE [28] Mckenna SJ, Gong S. Norrintrusive person authentication Conference on Computer Vision and Pattern Recognition for access control by visual tracking and face recognition/ Minneapolis, 2007: 1-7 lior and [43] Xu Y L, Roy- Chowdhury A, Patel K. Integrating illumina- Video-Based Person Aut hentication. Crans- Montana 1997 tion, motion, and shape models for robust face recognition in video. Eurasip Journal on Advances in Signal Processing 29] M. Duin R P w 2008:1-13 classifiers. IEEE Transactions on Pattern Analysis and [44] Zhou S, Chellappa R. From sample similarity to ensemble chine Intelligence. 1998. 20(3): 226-239 similarity: Probabilistic distance measures in reproducing [30] Moghaddam B, Pentland A. Probabilistic visual learning for kernel Hilbert space. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28(6): 917-929 sis and Machine Intelligence, 1997,19(7): 696710 [45] Hadid A, PietikAnen M. From still image to video-based face [31 Li B, Chellappa R. Face verification through tracking facial recognition: An experimental analysis// Proceedings of the features. Journal of the Optical Society of America A, 2001 6th Ieee International Conference on Automatic Face and l8(12):29692981 Gesture Recognition. Seoul 2004: 813-818 [32] Li B, Chellappa R. A generic approach to simultaneous [46 Roweis S T, Saul L K. Nonlinear dimensionality reduction tracking and verification in video. IEEE Transactions on Imr by locally linear embedding. Science, 2000, 290(5500) 2323-2326 age Processing, 2002, 11(5): 530- [47] Li Y, Gong S, Lidell H. Modeling faces dynamically across [33 Torres L, Vila J. Automatic face recognition for video inde- views and over time// Proceedings of the IEEE International xing applications. Pattern Recognition, 2002, 35(3): 615- Conference on Computer Vision. Vanco [48] Li Y, Gong S, Lidell H. Video- based online face recognition [34] Edwards GJ, Taylor CJ, Taylor T F. Improving identifica- using identity surfaces/ Proceedings of the IEEE Internation- ion per formation by integrating evidence from sequences// al Conference on Computer Vision. Vancouver, 2001: 40-46 Proceedings of the IEEE International Conference on Comr (49 Li Y, Gong S, Lidell H. Constructing facial identity surfaces puter Vision and Pattern Recognition. Fort Collins, 1999 the Conference on Computer Vision and Pattern Recogniti 135 Kim MY, Kumar S, Pavlovic V, Rowley H. Face tracking and recognition with visual constraints in real-world videos// [50] Yan Y, Zhang Y J. Discriminant projection embedding for Proceedings of the 26th IEEE Conference on Computer Vi- face and palmprint recognition. Neurcomp uting, 2008,(16 sion and Pattern Recognition. Anchorage, 2008: 1-8 18):3534-3543[ 22 ] Yan Y , Zhang YJ. State2of2t he2art on video2based face rec2 ognition. Encyclopedia of Artificial Intelligence , 2008 , 14552 1461 [ 23 ] Jia H X , Zhang YJ. Human detection in static images/ / Ver2 ma B , Blumenstein M. Pattern Recognition Technologies and Applications: Recent Advances. 2008 : 2272243 [ 24 ] Liu X M , Zhang Y J , Tan H C. A new Hausdorff distance based approach for face localization. Sciencepaper Online , 2005 , 2005122662 (129) [ 25 ] Srikantaswamy R , Samuel R D S. A novel face segmentation algorit hm from a video sequence for real2time face recogni2 tion. EURASIP Journal on Advances in Signal Processing , 2007 , 2007 : 126 [ 26 ] Wechsler H , Kakkad V , Huang J , Gutta S , Chen V. Auto2 matic video based person aut hentication using t he RBF net2 work/ / Proceedings of t he International Conference on Audio2 and Video2Based Person Aut hentication. Crans2Montana , 1997 : 85292 [ 27 ] Steffens J , Elagin E , Neven H. PersonSpotter : Fast and ro2 bust system for human detection , tracking and recognition/ / Proceedings of t he 3rd IEEE International Conference on Au2 tomatic Face and Gesture Recognition. Nara , 1998 : 5162521 [ 28 ] Mckenna S J , Gong S. Non2intrusive person aut hentication for access control by visual tracking and face recognition/ / Proceedings of t he International Conference on Audio2 and Video2Based Person Aut hentication. Crans2Montana , 1997 : 1772183 [ 29 ] Kittler J , Hatef M , Duin R P W , Matas J. On combining classifiers. IEEE Transactions on Pattern Analysis and Ma2 chine Intelligence , 1998 , 20 (3) : 2262239 [ 30 ] Moghaddam B , Pentland A. Probabilistic visual learning for object representation. IEEE Transactions on Pattern Analy2 sis and Machine Intelligence , 1997 , 19 (7) : 6962710 [ 31 ] Li B , Chellappa R. Face verification t hrough tracking facial features. Journal of t he Optical Society of America A , 2001 , 18 (12) : 296922981 [ 32 ] Li B , Chellappa R. A generic approach to simultaneous tracking and verification in video. IEEE Transactions on Im2 age Processing , 2002 , 11 (5) : 5302554 [ 33 ] Torres L , Vila J. Automatic face recognition for video inde2 xing applications. Pattern Recognition , 2002 , 35 ( 3) : 6152 625 [ 34 ] Edwards G J , Taylor C J , Taylor T F. Improving identifica2 tion per formation by integrating evidence from sequences/ / Proceedings of t he IEEE International Conference on Com2 puter Vision and Pattern Recognition. Fort Collins , 1999 : 4862491 [ 35 ] Kim M Y , Kumar S , Pavlovic V , Rowley H. Face tracking and recognition wit h visual constraints in real2world videos/ / Proceedings of t he 26t h IEEE Conference on Computer Vi2 sion and Pattern Recognition. Anchorage , 2008 : 128 [ 36 ] Mc Kenna S , Gong S , Raja Y. Face recognition in dynamic scenes/ / Proceedings of t he British Machine Vision Confer2 ence. Colchester , 1997 : 1402151 [ 37 ] Park U , J ain A K , Ross A. Face recognition in video : Adap2 tive fusion of multiple matchers/ / Proceedings of t he IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis , 2007 : 128 [ 38 ] Wolf L , Shashua A. Kernel principal angles for classification machines wit h applications to image sequence interpreta2 tion/ / Proceedings of t he IEEE Conference on Computer Vi2 sion and Pattern Recognition. Madison , 2003 : 6352642 [ 39 ] Fan W , Yeung D Y. Locally linear models on face appear2 ance manifolds wit h application to dual2subspace based classi2 fication/ / Proceedings of t he IEEE Conference on Computer Vision and Pattern Recognition. New York , 2006 : 13842 1390 [ 40 ] Tenenbaum J B , Silva V D , Langford J C. A global geomet2 ric framework for nonlinear dimensionality reduction. Sci2 ence , 2000 , 290 (5500) : 231922323 [ 41 ] Moghaddam B , J ebara T , Pentland A. Bayesian face recogni2 tion. Pattern Recognition , 2000 , 33 (11) : 177121782 [ 42 ] Xu Y , Roy2Chowdhury A , Patel K. Pose and illumination invariant face recognition in video/ / Proceedings of t he IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis , 2007 : 127 [ 43 ] Xu Y L , Roy2Chowdhury A , Patel K. Integrating illumina2 tion , motion , and shape models for robust face recognition in video. Eurasip Journal on Advances in Signal Processing , 2008 , 2008 : 1213 [ 44 ] Zhou S , Chellappa R. From sample similarity to ensemble similarity : Probabilistic distance measures in reproducing kernel Hilbert space. IEEE Transactions on Pattern Analysis and Machine Intelligence , 2006 , 28 (6) : 9172929 [ 45 ] Hadid A , Pietik¾inen M. From still image to video2based face recognition : An experimental analysis/ / Proceedings of t he 6t h IEEE International Conference on Automatic Face and Gesture Recognition. Seoul , 2004 : 8132818 [ 46 ] Roweis S T , Saul L K. Nonlinear dimensionality reduction by locally linear embedding. Science , 2000 , 290 ( 5500 ) : 232322326 [ 47 ] Li Y , Gong S , Lidell H. Modeling faces dynamically across views and over time/ / Proceedings of t he IEEE International Conference on Computer Vision. Vancouver , 2001 : 5542559 [ 48 ] Li Y , Gong S , Lidell H. Video2based online face recognition using identity surfaces/ / Proceedings of t he IEEE Internation2 al Conference on Computer Vision. Vancouver , 2001 : 40246 [ 49 ] Li Y , Gong S , Lidell H. Constructing facial identity surfaces in a nonlinear discriminating space/ / Proceedings of t he IEEE Conference on Computer Vision and Pattern Recognition. Kauai , 2001 : 2582263 [ 50 ] Yan Y , Zhang Y J. Discriminant projection embedding for face and palmprint recognition. Neurcomputing , 2008 , (162 18) : 353423543 5 期 严 严等 :基于视频的人脸识别研究进展 885
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