光学 精密工程, 2004, 12 (5): 543, 网络出版: 2006-11-03   

基于奇异值分解的人脸识别方法

作者单位
重庆大学,光电技术及系统教育部重点实验室,重庆,400044
引用该论文

梁毅雄, 龚卫国, 潘英俊, 李伟红, 刘嘉敏, 张红梅. 基于奇异值分解的人脸识别方法[J]. 光学 精密工程, 2004, 12(5): 543.

梁毅雄, 龚卫国, 潘英俊, 李伟红, 刘嘉敏, 张红梅. 基于奇异值分解的人脸识别方法[J]. Optics and Precision Engineering, 2004, 12(5): 543.

参考文献

[1] SAMAL A, IYENGAR P A.Automatic recognnition and analysis of human faces and facial expression:A survey[J].Pattern Recognition,1992,25(1):65-77.

[2] 王沛,余松煜,袁晓兵.基于小波变换自适应盲水印算法[J].光学精密工程,2002,10(3):247-252.WANG P,YU S Y,YUAN X B.Adaptive blind watermarking algorithm based on wavelet transfor[J]. Optics and Precision Engineering,2002,10(3):247-252. (in Chinese)

[3] 代少升,袁祥辉.提高DSP图像处理系统实时性的一种有效方法[J].光学精密工程,2003,11(6):617-620.DAI SH SH,YUAN X H.Improvement of DSP image processing real-timeness[J]. Optics and Precision Engineering,2003,11(6):617-620. (in Chinese)

[4] CHELLAPPA R, WILSON C L, SIROHEY S. Human and machine recognition of faces: A survey[J].Proceedings of IEEE. 1995, 83(5): 705-740.

[5] LIU C J, WECHSLER H. Evolutionary pursuit and its application to face recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(6): 570-582.

[6] GRUDIN M A.Compact multi-level representation of human faces for recognition [D]. Liverpool John Moores University, UK, 1997.

[7] GRUDIN M A. On internal representations in face recognition systems [J].Pattern Recognition , 2000, 33(7): 1161-1177.

[8] 张翠平, 苏光大. 人脸识别技术综述[J]. 中国图像图形学报, 2000, 5(11): 885-894.ZHANG C P, SU G D. Human face recognition: A survey[J].Journal of Image and Graphics , 2000, 5(11): 885-894. (in Chinese)

[9] HONG Z Q. Algebraic feature extraction of image recognition[J].Pattern Recognition , 1991, 24(3): 211-219.

[10] TURK M A, PENTLAND A P. Face recognition using eigenfaces[C]. IEEE Proceedings on Computer Vision and Patter Recognition , 1991: 586-591.

[11] TURK M A, PENTLAND A P. Eigenfaces for recognition[J].The Journal of Cognitive Neuroscience ,1991,3(1): 71-79.

[12] 洪子泉,杨静宇. 用于图象识别的图象代数特征抽取[J]. 自动化学报, 1992, 18(2): 233-238.HONG Z Q, YANG J Y. Algebraic feature extraction of image for image recognition [J].Acta Automatica Sinica , 1992, 18(2): 233-238.(in Chinese)

[13] CHENG Y Q. Human face recognition method based on the statistical model of small sample size[J].SPIE , 1991, 1607: 85-95.

[14] 洪子泉,杨静宇.基于奇异值特征和统计模型的人像识别算法[J].计算机研究与发展, 1994, 31(3): 60-65.HONG Z Q, YANG J Y. Human face recognition method based on SVs feature and the statistical model[J].Computer Research and Development , 1994, 31(3): 60-65.(in Chinese)

[15] WANG Y H, TAN T N, ZHU Y. Face verification based on singular value decomposition and radial basis function neural network[C].Proc. 4 th . Asian Conference on Computer Vision , 2000: 432-436.

[16] TIAN Y, TAN T N, WANG Y H, et al . Do singular values contain adequate information for recognition[J]. Pattern Recognition , 2003, 36: 649-655.

[17] 王蕴红, 谭铁牛, 朱勇.基于奇异值分解和数据融合的脸像鉴别[J]. 计算机学报, 2000, 23(6): 649-653.WANG Y H, TAN T N, ZHU Y. Face identification based on singular values decomposition and data fusion[J].Chinese J. Computers , 2000, 23(6): 649-653.(in Chinese)

[18] LAI J H, YUEN P C, FENG G C. Face recognition using holistic Fourier invariant features[J].Pattern Recognition ,2001, 34(1): 95-109.

[19] KLEMA V C, LAUB A J. The Singular value decomposition: Its computation and some applications[J].IEEE Transactions on Automatic Control ,1980, 25(2): 164-176.

[20] TIAN Q, FAINMAN Y, GU Z H, et al . Comparison of statistical pattern recognition algorithms for hybrid processing, Part II: Eigenvector-based algorithms[J].Journal of the Optical Society of America , 1988, 5(10): 1670-1672.

[21] COVER T M, HART P E. Nearest neighbor pattern classification[J].IEEE Transactions on Information Theory ,1967, 13(1): 21-27.

梁毅雄, 龚卫国, 潘英俊, 李伟红, 刘嘉敏, 张红梅. 基于奇异值分解的人脸识别方法[J]. 光学 精密工程, 2004, 12(5): 543. 梁毅雄, 龚卫国, 潘英俊, 李伟红, 刘嘉敏, 张红梅. [J]. Optics and Precision Engineering, 2004, 12(5): 543.

本文已被 5 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!