Abstract
One of the key problems in a face recognition system is verification. This paper presented a verification algorithm using SVM classifier with integrated geometrical features and template features based on our multi-view face recognition system. By using only six feature points located during the process of template matching, improved system performance is achieved.
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References
Lin Hong and Anil Jain, “Integrating Faces and Fingerprints for Personal Identification”. IEEE Trans. On Pattern Analysis and Machine Intelligence, 20(12): 1295–1306, 1998.
Roberto Brunelli and Daniele Falavigna, “Person Identification Using Multiple Cues”. IEEE Trans. On Pattern Analysis and Machine Intelligence, 17(10): 955–966, 1995.
S. J. Mckenna, Shaogang Gong, Yogesh Raja, “Modelling Facial Colour and Identity with Gaussian Mixtures”. Pattern Recognition, 31(12):1883–1892, 1998.
Hiroto Shingai, Ryuzo Takiyama, “Individual identification by unifying profiles and full faces”. IEICE Transactions on Information and Systems, E79-D(9):1274–1278, Sep 1996.
Peng Zhenyun, You Suya, Xu Guangyou, “Fast Face Feature Detection under Varying Pose”. China Journal of Image and Graphic, 2(4): 225–229, Apr 1997.
Zhang Yongyue, Peng Zhenyun, You Suya, Xu Guangyou, “A Multi-View Face Recognition System”. J. of Computer Sci, & Technol., 12(5):400–407, Sept 1997.
Tomaso Poggio and Thomas Vetter, “Recognition and Structure from one 2D Model View: Observations on Prototypes, Object Classes and Symmetries”. A.I. Memo No. 1347, MIT Artificial Intelligence Laboratory, 1992.
K. Liu and J. Y. Yang, “A generalized optimal set of discriminant vectors”. Pattern Recognition, 25(2): 817–829, 1992.
F. Xie, Zh. Peng, G. Xu, “Highly Reliable Face Identification System”. The 4th China conference on Compute Intelligent Interface and Applications, pages 250–255, 1999.
Brunelli R. and Poggio T. “Face recognition: Features versus Templates”. IEEE Trans. On Pattern Analysis and Machine Intelligence, 15(10):1042–1052, Oct. 1993.
Lanitis A., Taylor C. J., and Cootes T. F. “Automatic face identification system using flexible appearance models”. Image and Vision Computing, 13(5): 393–401, Jun 1995.
Boser B. E., Guyon I. M., and Vapnik V. N. “A training algorithm for optimal margin classifier”. Proc. 5th ACM Workshop on Computational Learning Theory, pages 144–152, Pittsburgh, PA, July 1992.
Turk M. A. and Pentland A. D. “Face recognition using eigenfaces”. Proc. of Computer Vision and Pattern Recognition, 1991, pages 586–591.
Burel G. and Carel D. “Detection and localization of faces on digital images”. Pattern Recognition Letters, 15: 963–967, 1994.
Phillips P. J. “Support vector machines applied to face recognition”, NIPS’98, 1998.
Kohonen T. Self-Organization and Associative Memory. Springer, Berlin, 1988.
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© 2001 Springer-Verlag Berlin Heidelberg
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Xie, F., Xu, G., Hundt, E. (2001). A Face Verification Algorithm Integrating Geometrical and Template Features. In: Shum, HY., Liao, M., Chang, SF. (eds) Advances in Multimedia Information Processing — PCM 2001. PCM 2001. Lecture Notes in Computer Science, vol 2195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45453-5_33
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DOI: https://doi.org/10.1007/3-540-45453-5_33
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