【正文】 003: 192–201.[18] Nishiyama M, Yamaguchi O, Fukui K. Face Recognition with the multiple constrained mutual subspace method//Proceeding of the 5th International Conference on Audio and VideoBased Biometric Person Authentication. New York, 2005: 7180[19] Li J W, Wang Y H, Tan T N. Videobased face recognition using a metric of average Euclidean distance// Proceedings of the 5th Chinese Conference on Biometric Recognition. Guangzhou, 2004: 224232[20] Li J W, Wang Y H, Tan TN. Videobased face recognition using earth mover’s distance//Proceedings of the International Conference on Audio and Videobased person authentication. New York, 2005: 229239[21] Fan W, Wang Y H, Tan T N. Videobased face recognition using Bayesian inference model//Proceedings of the International Conference on Audio and Videobased person authentication. New York, 2005: 122130[22] Yan Y, Zhang Y J. Stateoftheart on videobased face recognition. Encyclopedia of Artificial Intelligence, 2008, 14551461[23] Jia H X, Zhang Y J. Human detection in static images//Verma B, Blumenstein M. Pattern Recognition Technologies and Applications: Recent Advances. 2008, 227243[24] Liu X M, Zhang Y J, Tan H C. A new hausdorff distance based approach for face localization. Sciencepaper Online, 2005, 200512662(19)[25] Srikantaswamy R, Samuel R D S. A novel face segmentation algorithm from a video sequence for realtime face recognition. Eurasip Journal on Advances in Signal Processing, Taibei, 2007, 2007: 16[26] Wechsler H, Kakkad V, Huang J, Gutta S, Chen V. Automatic Video Based Person Authentication Using the RBF Network//Proceedings of the International Conference on Audio and VideoBased Person Authentication. CransMontana, 1997: 8592[27] Steffens J, Elagin E, Neven H. PersonSpotter: fast and robust system for human detection, tracking and recognition//Proceedings of the 3rd IEEE International Conference on Automatic Face and Gesture Recognition. Nara, 1998: 516521[28] Mckenna S J, Gong S. Nonintrusive person authentication for access control by visual tracking and face recognition//Proceedings of the International Conference on Audio and VideoBased Person Authentication. Crans Montana, 1997: 177183[29] Kittler J, Hatef M, Duin R P W, Matas J. On bining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1998, 20(3): 226239[30] Moghaddam B, Pentland A. Probabilistic visual learning for object representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 19(7): 696710[31] Li B, Chellappa R. Face verification through tracking facial features. Journal of the Optical Society of America A, 2001, 18(12): 29692981[32] Li B, Chellappa R. A generic approach to simultaneous tracking and verification in video. IEEE Transactions on Image Processing, 2002, 11(5): 530554[33] Torres L, Vila J. Automatic face recognition for video indexing applications. Pattern Recognition, 2002, 35(3): 615625[34] Edwards G J, Taylor C J, Taylor T F. Improving identification per formation by integrating evidence from sequences//Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition. Fort Collins, 1999: 486491[35] Kim M Y, Kumar S, Pavlovic V, Rowley H. Face tracking and recognition with visual constraints in realworld videos. Proceedings of 26th IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, 2008, 18[36] McKenna S, Gong S, Raja Y. Face recognition in dynamic scenes//Proceeding of the British Machine Vision Conference. Colchester, 1997: 140151[37] Park U, Jain A K, Ross A. Face recognition in video: adaptive fusion of multiple matchers//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, 2007: 18[38] Wolf L, Shashua A. Kernel principal angles for classification machines with applications to image sequence interpretation//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Madison, 2003: 635642[39] Fan W, Yeung D Y. Locally linear models on face appearance manifolds with application to dualsubspace based classification//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. New York, 2006: 13841390[40] Tenenbaum J B, Silva V D, Langford J C. A global geometric framework for nonlinear dimensionality reduction. Science, 2000, 290(5500): 23192323[41] Moghaddam B, Jebara T, Pentland A. Bayesian face recognition. Pattern Recognition, 2000, 33(11): 17711782[42] Xu Y, RoyChowdhury A, Patel K. Pose and illumination invariant face recognition in video//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, 2007: 17[43] Xu Y L, RoyChowdhury A, Patel K. Integrating illumination, motion, and shape models for robust face recognition in video. Eurasip Journal on Advances in Signal Processing, 2008, 2008: 113[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): 917929[45] Hadid A, Pietik228。(2) 如何對降維后的人臉序列進行描述。(