Optics and Precision Engineering, Volume. 12, Issue 5, 543(2004)
[in Chinese]
[1] [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.
[4] [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] [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] [6] GRUDIN M A.Compact multi-level representation of human faces for recognition [D]. Liverpool John Moores University, UK, 1997.
[7] [7] GRUDIN M A. On internal representations in face recognition systems [J].Pattern Recognition , 2000, 33(7): 1161-1177.
[9] [9] HONG Z Q. Algebraic feature extraction of image recognition[J].Pattern Recognition , 1991, 24(3): 211-219.
[10] [10] TURK M A, PENTLAND A P. Face recognition using eigenfaces[C]. IEEE Proceedings on Computer Vision and Patter Recognition , 1991: 586-591.
[11] [11] TURK M A, PENTLAND A P. Eigenfaces for recognition[J].The Journal of Cognitive Neuroscience ,1991,3(1): 71-79.
[13] [13] CHENG Y Q. Human face recognition method based on the statistical model of small sample size[J].SPIE , 1991, 1607: 85-95.
[15] [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] [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.
[18] [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] [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] [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] [21] COVER T M, HART P E. Nearest neighbor pattern classification[J].IEEE Transactions on Information Theory ,1967, 13(1): 21-27.
Get Citation
Copy Citation Text
[in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese], [in Chinese]. [J]. Optics and Precision Engineering, 2004, 12(5): 543