Enhanced Independent Component Analysis and Its Application to Content Based Face Image Retrieval

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 34, Issue 2, 2004, Pages 1117-1127

  Liu, Chengjun ^a  

^a University Heights   (United States)

Author keywords

Content based face image retrieval; EICA; Face recognition; ICA; PCA

Indexed keywords

ALGORITHMS; EIGENVALUES AND EIGENFUNCTIONS; ENTROPY; FACE RECOGNITION; IMAGE RETRIEVAL; INDEPENDENT COMPONENT ANALYSIS; MATRIX ALGEBRA; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; VECTORS;

CONTENT-BASED FACE IMAGE RETRIEVAL; EICA;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FACE; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; MALE; METHODOLOGY; PHOTOGRAPHY; PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; FACE; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MALE; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; PRINCIPAL COMPONENT ANALYSIS;

EID: 1842587738     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2003.821449     Document Type: Article

References (29)

1. H. B. Barlow, "Possible principles underlying the transformation of sensory messages," in Sensory Communication, W. Rosenblith, Ed. Cambridge, MA: MIT Press, 1961, pp. 217-234.
2. _, "Unsupervised learning," Neural Computat., vol. 1, pp. 295-311, 1989.
3. H. B. Barlow, T. P. Kaushal, and G. J. Mitchison, "Finding minimum entropy codes," Neural Computat, vol. 1, no. 3, pp. 412-423, 1989.
4. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, "Face recognition by independent component analysis," IEEE Trans. Neural Networks, vol. 13, pp. 1450-1464, Nov. 2002.
5. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection," IEEE Trans. Pattern Anal. Machine Intell., vol. 19, pp. 711-720, July 1997.
6. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Computat., vol. 7, pp. 1129-1159, 1995.
7. T. F. Chan, "An improved algorithm for computing the singular value decomposition," ACM Trans. Math. Software, vol. 8, pp. 72-83, 1982.
8. P. Comon, "Independent component analysis, a new concept?," Signal Processing, vol. 36, pp. 287-314, 1994.
9. S. Edelman and N. Intrator, "Learning as extraction of low-dimensional representations," in Mechanisms of Perceptual Learning, D. Medin, R. Goldstone, and P. Schyns, Eds. New York: Academic, 1990.
10. K. Etemad and R. Chellappa, "Discriminant analysis for recognition of human face images," J. Optical Soc. Amer. A, vol. 14, pp. 1724-1733, 1997.
11. D. Field, "What is the goal of sensory coding," Neural Computat., vol. 6, pp. 559-601, 1994.
12. P. Foldiak, "Forming sparse representations by local anti-Hebbian learning," Biol. Cybernetics, vol. 4, pp. 165-170, 1990.
13. A. Hyvarinen and E. Oja. Independent Component Analysis: A Tutorial. [Online]http://www.cis.hut.fi/aapo/papers/IJCNN99_tutorialweb/
14. _, "A fast fixed-point algorithm for independent component analysis," Neural Computat., vol. 9, pp. 1483-1492, 1997.
15. N. Intrator and L. N. Cooper, "Objective function formulation of the BCM theory of visual cortical plasticity: statistical connections, stability conditions," Neural Networks, vol. 5, pp. 3-17, 1992.
16. J. Karhunen, E. Oja, L. Wang, R. Vigario, and J. Joutsensalo, "A class of neural networks for independent component analysis," IEEE Trans. Neural Networks, vol. 8, pp. 486-504, May 1997.
17. M. Kirby and L. Sirovich, "Application of the Karhunen-Loeve procedure for the characterization of human faces," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, pp. 103-108, Jan. 1990.
18. C. Liu, "A Bayesian discriminating features method for face detection," IEEE Trans. Pattern Anal Machine Intell., vol. 25, pp. 725-740, June 2003.
19. C. Liu and H. Wechsler, "Evolutionary pursuit and its application to face recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, pp. 570-582, June 2000.
20. _, "Robust coding schemes for indexing and retrieval from large face databases," IEEE Trans. Image Processing, vol. 9, pp. 132-137, Jan. 2000.
21. _, "A shape and texture based enhanced fisher classifier for face recognition," IEEE Trans. Image Processing, vol. 10, pp. 598-608, Apr. 2001.
22. _, "Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition," IEEE Trans. Image Processing, vol. 11, pp. 467-476, Apr. 2002.
23. B. Moghaddam, "Principal manifolds and probabilistic subspaces for visual recognition," IEEE Trans. Pattern Anal Machine Intell., vol. 24, pp. 780-788, June 2002.
24. B. A. Olshausen and D. J. Field, "Emergence of simple-cell receptive field properties by learning a sparse code for natural images," Nature, vol. 381, no. 13, pp. 607-609, 1996.
25. _, "Sparse coding with an overcomplete basis set: a strategy employed by v1?," Vision Res., vol. 37, pp. 3311-3325, 1997.
26. P. J. Phillips, "Matching pursuit filters applied to face identification," IEEE Trans. Image Processing, vol. 7, pp. 1150-1164, Aug. 1998.
27. P. J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image Vision Comput., vol. 16, pp. 295-306, 1998.
28. D. L. Swets and J. Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. Pattern Anal. Machine Intell., vol. 18, pp. 831-836, Aug. 1996.
29. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cognitive Neurosci., vol. 13, no. 1, pp. 71-86, 1991.