|
參考文獻
[1]張宴安，”人臉偵測與應用”，淡江大學，2007.6
[2]呂芳譯，”以臉部器官形狀、寬度、相對位置從事人臉影像辨識”，東海大學，2001.6
[3]孫榮男，”應用主要分量分析與類神經網路於人臉辨識”，國立高雄第一科技大學 2002.6
[4]劉德誠，”以PSO為基礎的臉部偵測系統 A PSO based on Face Detection System”，長庚大學，2006.6
[5]R.C. Gonzalez, R.E.Woods, 謬紹綱編譯,”Digital Image Processing”，台灣培生教育出版股份有限公司出版， 普林斯頓國際有限公司
[6] A. Waibel, T.Hanazawa, G. Hinton, K, Shikano, and K.
Lang,”Phoneme Recognition Using Time-Delay Neural Networks,”
IEEE Trans, Pattern Analysis and Machine Intelligence, vol.37, no.3,
pp.328-339, May 1989.
[7] A.L. Yuille, D.S Cohen and P.W. Hallinan,1989,”Feature Extraction from Faces Using Deformable Templates,” IEEE Computer society Conference on Computer Vision and Pattern Recognition, pp.104-109
[8] A. Yuille, P. Hallinan and D. Cohen, “Feature Extraction from Faces Using Deformable Templates,”Int’l, Computer Vision, vol.8, no.2, pp.99-111,1992
[9] C. Kotropoulos and I.Pitas,”Rule-Based Face Detection in Frontal Views,” Proc. Int’l Conf. Acoustics, Speech and Signal Processing, vol.4, pp.2537-2540, 1997.
[10] D. Roth, “Learning to Resolve Natural Langugae Ambiguities: A Unified Approach,” Proc. 15th Nat’l Conf. Artificial Intelligence, pp. 806-813, 1998
[11] D.G. Kendall, “Shape Manifolds, Procrustean Metrics, and Complex Projective Shapes,” Bull, London Math, Soc., vol. 16, pp.81-121, 1984
[12] F. Samaria and S. Young, “HMM Based Architecture for Face Identification,” Image and Vision Computing, vol.12, pp. 537-583, 1994
[13] G. Yand and T.S. Huang,”Human Face Detection in Complex Background,” Pattern Recognition, vol.27, no.1,pp.53-63,1994
[14] H. Wei, W.Yong, M. Xuanquin and W. Yan, 2001,”A Cooperative Fuzzy Control Method for Traffic Lights,” IEEE International Transportation Systems Conference Proceedings, pp.185-188
[15] H. Wang, S.Z.Li, Y. Wang, J,Zhang, “Self Quotient Image for Face Recognition”, International Conference Image on Processing, Vol 2,pp. 1397-1400,2004
[16] H. Wang, S.Z.Li, Y.Wang, ”Face Recognition Under Varying Lighting Conditions Using Self Quotient Image”, IEEE International Conference on Automatic Face and Gesture Recognition, pp.819-824.2004
[17] H. Wu, Q. Chen, and M. Yachida, “Face Detection from Color Images Using a Fuzzy Pattern Matching Method,” IEEE Trans, Pattern
Analysis and Machine Intelligence, vol. 21, no.6,pp. 557-563, June 1999
[18] H. Rowley, S. Baluja, and T. Kanade, “Neural Network-Based Face Detection,” Proc, IEEE Conf, Computer Vision and Pattern Recognition, pp, 203-208, 1996.
[19] H. Wang and S.-F. Chang,”A Highly Efficient System for Automatic Face Region Detection in MPEG Video,” IEEE Trans, Circuits and Systems for Video Technology, vol.7,no.4,pp.615-628,1997
[20] H.A Rowler,”Neural Network-Based Face Detection,” PhD thesis, Carriegie Mellon Univ., 1999.
[21] J. Yang, R. Stiefhagen, U.Meier, and A. Waibei, “Visual Tracking for Multimodal Human Computer Interaction,” Proc. ACM Human Factors in Computing Systems Conf, (CHI 98),pp. 140-147,1998
[22] K.C. Yow and R. Cipolla,”A Probabilitistic Framework for Perceptual Grouping of Feature for Human Face Detection,”Proc. Second Int Conf, Automatic Face and Gesture Recognition, pp 16-21,1996
[23] K-K, Sung, “Learning and Example Selection for Object and Pattern Detection,” PhD thesis, Massachusetts Inst. of Technology, 1996
[24]W.B.Horng, C.Y.Chen, Y Chang, and C.H. Fan,”Driver Fatigue Detection based on Eye Tracking and Dynamic Template Matching, “in Proceedings of the 2004 IEEE international Conference on Networking,Sensing and Control, Vol.1, pp.7-12,21-33 March 2004
[25] M. Kirby and L. Sirovich, “Application of the Karhunen-Loeve Procedure for the Characerization of Human Faces,” IEEE Trans. Pattern Analysisand Machine Intelligence, vol. 12, no.1, pp.103-108
[26] Q, Ji “3D Face Pose Estimation and Tracking from Monocular Camera,” Image and Vision Computing, Vol.20, Issue 7, pp.499-511, May 1,2002
[27]R.B. Wang, K.Y.Guo,S.M. Shi, and J. W. Chu,”A Monitoring Method of Driver Fatigue Behavior Based on Machine Vision”in Proceedings of IEEE Intelligent Vehicles Symposium, pp. 110-133,9-11 June 2003
[28] T.N. Bhaskar, F.T.Keat, S. Ranganath, and Y.V. Venkatesh, “Blink Detection and Eye Tracking for Eye Location,”TENCON 2003 Conf. on Convergent Technologies for Asia-Pacific Region,Vol.2,15-17,pp.821-824, October, 2003
[29] T. Kohonen, Self-Organization and Associative Memory. Springer 1989.
[30] T. Sakai, M.Nagao, and S. Fujibayashi, “Line Extraction and Pattern Detetction in a Photograph,” Pattern Recognition, vol. 1,pp.233-248, 1969.
[31] T. Starner and A. Pentland, “Real-Time ASL Recognition from Video Using HMM’s,” Technical Report 375, Media Lab, Massachusets Inst, of Techonolody, 1996
[32] V. Bakic, G.Stockman, 1998,”Real-Time Tracking of Face Features and Gaze Direction Determination,” IEEE Applications of Computer Vision, pp256-257.
[33] W. Zhao, R. Chellappa, and A.Krisnaswamy, “Discriminat Analysis of Principal Components for Face Recognition,” Proc. ThridInt’l Conf. Automatic Face and Gesture Recognition, pp.336-341, 1998
[34] Z. Zhu, Q.Ji, “Robust Real-Time Eye Detection and Tracking under Variable Lighting Conditions and Various Face Orientations” Computer Vision and Image Understanding, Vol.98,Issue ,p124-154,April,2005
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