Statistics in face recognition: Analyzing probability distributions of PCA, ICA and LDA performance results

Image and Signal Processing and Analysis, 2005. ISPA 2005. Proceedings of the 4th International Symposium

Volumn 2005, Issue , 2005, Pages 289-294

  Delac, Kresimir ^a   Grgic, Mislav ^b   Grgic, Sonja ^b  

^a Croatian Telecom   (Croatia)

^b UNIVERSITY OF ZAGREB   (Croatia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER VISION; MONTE CARLO METHODS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS;

PERMUTATION METHODOLOGY; STATISTICAL TOOLS;

FACE RECOGNITION;

EID: 33749049646     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ispa.2005.195425     Document Type: Conference Paper

References (12)

1. W. Zhao, R. Chellappa, J. Phillips, A. Rosenfeld, "Face Recognition in Still and Video Images: A Literature Survey ", ACM Computing Surveys, Vol. 35, Dec. 2003, pp. 399-458
2. P.J. Phillips, H. Moon, S.A. Rizvi, P.J. Rauss, "The FERET Evaluation Methodology for Face Recognition Algorithms", IEEE Trans. on PAMI, Vol. 22, No. 10, October 2000, pp. 1090-1104
3. J.R. Beveridge, K. She, B. Draper, and G.H. Givens, "A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition", Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Kaui, HI, USA, December 2001, pp. 535-542
4. J.R. Beveridge, K. She, B. Draper, and G. Givens. "Parametric and Non-parametric Methods for the Statistical Evaluation of HumanID Algorithms", IEEE Third Workshop on Empirical Evaluation Methods in Computer Vision, Kauai, HI, USA, December 2001
5. M. Turk, A. Pentland, "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, Vol. 3, No. 1, 1991, pp. 71-86
6. M.S. Bartlett, J.R. Movellan, T.J. Sejnowski, "Face Recognition by Independent Component Analysis", IEEE Trans. on Neural Networks, Vol. 13, No. 6, November 2002, pp. 1450-1464
7. P. Belhumeur, J. Hespanha, D. Kriegman, "Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection", Proc. of the Fourth European Conference on Computer Vision, Vol. 1, Cambridge, UK, 1996, pp. 45-58
8. W. Yambor, B. Draper, R. Beveridge, "Analyzing PCA-Based Face Recognition Algorithms: Eigenvector Selection and Distance Measures", Empirical Evaluation Methods in Computer Vision, H. Christensen and J. Phillips, eds., World Scientific Press, 2002
9. K. Delac, M. Grgic, S. Grgic, "Independent Comparative Study of PCA, ICA, and LDA on the FERET Data Set", Technical Report, University of Zagreb, FER, 2004
10. P.J. Phillips, P. Grother, R.J. Micheals, D.M. Blackburn, E. Tabassi, M. Bone, "Face Recognition Vendor Test 2002 - Evaluation Report", 2003 http://www.frvt.org/DLs/FRVT_2002_Evaluation_Report.pdf
11. R.J. Micheals, T Boult, "Efficient Evaluation of Classification and Recognition Systems", Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, Vol. 1, 2001, pp. 50-57
12. A. Martinez, A. Kak, "PCA versus LDA", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 23, No. 2, February 2001, pp. 228-233