Sirface vs. Fisherface: Recognition using class specific linear projection

IEEE International Conference on Image Processing

Volumn 3, Issue , 2003, Pages 885-888

  Ling, Yangrong ^a   Yin, Xiangrong ^b   Bhandarkar, Suchendra M ^a  

^a University of Georgia ^*  (United States)

^b UNIVERSITY OF GEORGIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; CORRELATION METHODS; DATA REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; PHOTOGRAMMETRY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

SINGULAR VALUE DECOMPOSITION (SVD); SLICED INVERSE REGRESSION (SIR);

FACE RECOGNITION;

EID: 0345603770     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. P.N. Belhumeur, J.P. Hespanha and D.J. Kriegman, Eigenfaces vs. Fisherfaces: recognition using class-specific linear projection, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, pp. 711-720, 1997.
2. E. Bura and R.D. Cook, Estimating the structural dimension of regressions via parametric inverse regression, Journal of Royal Statistical Society, B., 63, No. 2, pp. 393-410, 2001.
3. R.D. Cook, Regression Graphics: Ideas for Studying Regressions through Graphics, New York: Wiley, 1998.
4. R.D. Cook, and X. Yin, Dimension reduction and visualization in discriminant analysis, invited paper with discussion in the New Australia and New Zealand Journal of Statistics, Vol. 43, No. 2, pp. 147-199, 2001.
5. S. Geisser, Discrimination, allocatory and separatory, linear aspects, In: J. Van Ryzin, Ed., Classification and Clustering, Academic Press, New York, pp. 301-330, 1977.
6. A.S. Georghiades, P.N. Belhumeur, and D.J. Kriegman, From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose, IEEE Trans. Pattern Anal. Mach. Intelligence, Vol. 23, No. 6, pp. 643-660, 2001
7. W. J. Krzanowski, The performance of Fisher's Linear Discriminant Function Under Non-Optimal Conditions, Technometrics, Vol. 19, No. 2, pp 191-200, 1997.
8. J.T. Kent, Discussion of Li (1991), Journal of the American Statistical Association, Vol. 86, pp. 336-337, 1991.
9. K.C. Li, Sliced inverse regression for dimension reduction (with discussion), Journal of the American Statistical Association, Vol. 86, pp. 316-342, 1991.
10. G.J. McLachlan, Discriminant Analysis and Statistical Pattern Recognition, John Wiley, New York, 1992.
11. X. Yin, and R.D. Cook, Dimension reduction for the conditional k-th moment in regression, Journal of the Royal Statistical Society Ser B, 64, pp. 159-175, 2002.