Face recognition using independent gabor wavelet features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2091 LNCS, Issue , 2001, Pages 20-25

  Liu, Chengjun ^a   Wechsler, Harry ^b  

^a UNIVERSITY OF MISSOURI ST LOUIS   (United States)

^b George Mason University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTHENTICATION; BIOMETRICS; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; SENSITIVITY ANALYSIS;

AUGMENTED GABOR FEATURE VECTORS; FACIAL EXPRESSIONS; GABOR WAVELET FEATURES; GABOR WAVELET TRANSFORMATION; INDEPENDENCE PROPERTIES; INDEPENDENT COMPONENT ANALYSIS(ICA); LIGHTING CONDITIONS; PROBABILISTIC REASONING;

FACE RECOGNITION;

EID: 77953184506     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45344-x_3     Document Type: Conference Paper

References (21)

1. M.S. Bartlett, H.M. Lades, and T.J. Sejnowski, "Independent component representations for face recognition," in Proceedings of the SPIE, Vol 3299: Conference on Human Vision and Electronic Imaging III, 1998, pp. 528-539.
2. 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. (Pubitemid 127762263)
3. D. Burr, M. Morrone, and D. Spinelli, "Evidence for edge and bar detectors in human vision,"Vision Research, vol. 29, no. 4, pp. 419-431, 1989. (Pubitemid 19092693)
4. R. Chellappa, C.L. Wilson, and S. Sirohey, "Human and machine recognition of faces: A survey," Proc. IEEE, vol. 83, no. 5, pp. 705-740, 1995.
5. P. Comon, "Independent component analysis, a new concept?," Signal Processing, vol. 36, pp. 287-314, 1994.
6. J.G. Daugman, "Complete discrete 2-d Gabor transforms by neural networks for image analysis and compression," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 36, no. 7, pp. 1169-1179, 1988.
7. G. Donato, M.S. Bartlett, J.C. Hager, P. Ekman, and T.J. Sejnowski, "Classifying facial actions," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 974-989, 1999.
8. K. Etemad and R. Chellappa, "Discriminant analysis for recognition of human face images,"J. Opt. Soc. Am. A, vol. 14, pp. 1724-1733, 1997. (Pubitemid 127569239)
9. D. Field, "Relations between the statistics of natural images and the response properties of cortical cells," J. Opt. Soc. Amer. A, vol. 4, no. 12, pp. 2379-2394, 1987.
10. J. Jones and L. Palmer, "An evaluation of the two-dimensional Gabor filter model of simple receptive fields in cat striate cortex," J. Neurophysiology, pp. 1233-1258, 1987. (Pubitemid 18023459)
11. M. Lades, J.C. Vorbruggen, J. Buhmann, J. Lange, C. von der Malsburg, Wurtz R.P., and W. Konen, "Distortion invariant object recognition in the dynamic link architecture," IEEE Trans. Computers, vol. 42, pp. 300-311, 1993.
12. C. Liu and H.Wechsler, "Comparative assessment of independent component analysis (ICA) for face recognition," in Proc. Second International Conference on Audio- and Video-based Biometric Person Authentication, Washington D. C., March 22-24, 1999.
13. C. Liu and H. Wechsler, "Robust coding schemes for indexing and retrieval from large face databases," IEEE Trans. on Image Processing, vol. 9, no. 1, pp. 132-137, 2000. (Pubitemid 30562090)
14. B. Moghaddam, "Principal manifolds and bayesian subspaces for visual recognition," in the 7th Int'l Conf. on Computer Vision, Corfu, Greece, September, 1999.
15. B. Moghaddam and A. Pentland, "Probabilistic visual learning for object representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 696-710, 1997. (Pubitemid 127762262)
16. 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. (Pubitemid 26177476)
17. P.J. Phillips, H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face-recognition algorithms," Image and Vision Computing, vol. 16, pp. 295-306, 1998. (Pubitemid 128393579)
18. A. Rosenfeld and H. Wechsler, "Pattern recognition: Historical perspective and future directions," Int. J. Imaging Syst. Technol., vol. 11, pp. 101-116, 2000.
19. D. L. Swets and J. Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. on PAMI, vol. 18, no. 8, pp. 831-836, 1996.
20. M. Turk and A. Pentland, "Eigenfaces for recognition," Journal of Cognitive Neuroscience, vol. 13, no. 1, pp. 71-86, 1991.
21. L. Wiskott, J.M. Fellous, N. Kruger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 775-779, 1997. (Pubitemid 127762270)