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Volume 29 Issue 3
Jan.  2011
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Long Fei, Dong Huai-lin, Wang Bei-zhan, Shi Liang. Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition[J]. Journal of Electronics & Information Technology, 2007, 29(3): 626-630. doi: 10.3724/SP.J.1146.2006.00306
Citation: Long Fei, Dong Huai-lin, Wang Bei-zhan, Shi Liang. Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition[J]. Journal of Electronics & Information Technology, 2007, 29(3): 626-630. doi: 10.3724/SP.J.1146.2006.00306

Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition

doi: 10.3724/SP.J.1146.2006.00306
  • Received Date: 2006-03-17
  • Rev Recd Date: 2006-09-18
  • Publish Date: 2007-03-19
  • In this paper, a GPSA face recognition approach by probabilistic subspace analysis in Gabor wavelet domain is presented. First, an improved Gabor representation scheme for face images is given, then a Gabor based probabilistic subspace model is built, so recognition is performed in a manner of probabilistic matching. The discriminatory information yielded from both probabilistic subspace analysis and Gabor representation is exploited altogether in GPSA method, and hence the robustness of face recognition system is enhanced effectively. The experimental results on a mixture face database including 190 individuals show that the proposed GPSA method outperforms the existing PSA method.
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  • [1] Turk M and Pentland A. Eigenfaces for face recognition[J].J. Cognitive Neuroscience.1991, 3(1):71-86 [2] Moghaddam B. Principal manifolds and probabilistic subspaces for visual recognition. IEEE Trans. on PAMI, 2002, 24(6): 780-788. [3] 龙飞, 叶学义, 李斌, 庄镇泉. 基于小波子图及广义鉴别分析理论的人脸特征抽取算法. 电子与信息学报, 2005, 27(增刊): 185-188. Long Fei, Ye Xue-yi, Li Bin, and Zhuang Zhen-quan. Facial feature extraction by wavelet subimage representation and generalized discriminant analysis. Journal of Electronics Information Technology, 2005, 27(Suppl):185-188. [4] Long Fei, He Jinsong, and Ye Xueyi, et al.. Discriminant independent component analysis as a subspace representation. Journal of Electronics(China), 2006, 23(1): 103-106. [5] Daugman J G. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression[J].IEEE Trans. on ASSP.1988, 36(7):1169-1179 [6] Liu C and Wechsler H. Gabor feature classifier for face recognition. In Proc. of ICCV, Vancouver, British Columbia, Canada, 2001: 270-275. [7] Zhang Lei, Li S Z, and Qu ZhiYi, et al.. Boosting local feature based classifiers for face recognition. In Proc. of CVPR Workshop on Face Processing in Video, Washington DC, 2004: 87-93. [8] Wiskott L, Fellous J M, and von der Malsburg C. Face recognition by elastic bunch graph matching. IEEE Trans. on PAMI, 1997, 19(7): 775-779. [9] Phillips P J, Moon H, and Rizvi S A, et al.. The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. on PAMI, 2000, 22(10): 1090-1104.
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