2D Gaborface representation method for face recognition with ensemble and multichannel model

Image and Vision Computing

Volumn 26, Issue 6, 2008, Pages 820-828

  Wang, Lin ^a   Li, Yongping ^a   Wang, Chengbo ^a   Zhang, Hongzhou ^a  

^a SHANGHAI INSTITUTE OF APPLIED PHYSICS   (China)

Author keywords

(2D)2PCA; 2D principal component analysis (PCA); Decision level fusion; Face recognition; Feature extraction; Gaborface; Multichannel

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

DECISION LEVEL FUSION; GABORFACE;

FACE RECOGNITION;

EID: 40949087233     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2007.09.002     Document Type: Article

References (23)

1. Turk M., and Pentland A. Eigenfaces for recognition. Journal of Cognitive Neuroscience 3 1 (1991) 71-86
2. Field D. Relations between the statistics of natural images and the response properties of cortical cells. Journal of the Optical Society of America A 4 12 (1987) 2379-2394
3. T.S. Lee, Image representation using 2D Gabor Wavelets, in: IEEE Transactions on PAMI, vol. 18, No. 10, 1996.
4. Liu C.J., and Wechesler H. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE Transactions on Image Processing 11 4 (2002) 467-476
5. C.J. Liu, Gabor-based Kernel PCA with fractional power polynomial models for face recognition, in: IEEE Transactions on PAMI, vol. 26, No. 5, 2004.
6. L. Wang, Y.P. Li, A novel 2D Gabor wavelets window method for face recognition, in: Lecture Notes in Computer Science, vol. 4105, 2006, pp. 497-504.
7. Ayinde O., and Yang Y.H. Face recognition approach based on rank correlation of Gabor-filtered images. Pattern Recognition 35 (2002) 1275-1289
8. Kalocsai P., von der Malsburg C., et al. Face recognition by statistical analysis of feature detectors. Image and Vision Computing 18 4 (2000) 273-278
9. J. Qin, Z.S. He, A SVM face recognition method based on Gabor-featured key points, in: Proceedings of the 4th IEEE Conference on Machine Learning and Cybernetics, 2005, pp. 5144-5149.
10. Hamamoto Y., Uchimura S., et al. A Gabor filter-based method for recognizing handwritten numerals. Pattern Recognition 31 4 (1998) 395-400
11. Alterson R., and Spetsakis M. Object recognition with adaptive Gabor features. Image and Vision Computing 22 (2004) 1007-1014
12. J. Yang, D. Zhang, Two-dimensional PCA: a new approach to appearance-based face representation and recognition, in: IEEE Transactions on PAMI, vol. 26, No. 1, 2004, pp. 131-137.
13. Randen T., and Husøy J.H. Multichannel filtering for image texture segmentation. Optical Engineering 33 (1994) 2617-2625
14. A.C. Bovik, M. Clark, W.S. Geisler, Multichannel texture analysis using localized spatial filters, in: IEEE Transactions on PAMI, vol. 12, No. 1, 1990, pp. 55-73.
15. W. Fan, Y.H. Wang, Combining null space-based Gabor features for face recognition, in: Proceedings of the 17th IEEE Conference on Pattern Recognition, vol. 1, 2004, pp. 330-333.
16. Ginsburg A.P. Specifying relevant spatial information for image evaluation and display design:an explanation of how we see certain objects. Proceedings of the Society for Experimental Biology and Medicine 21 3 (1980) 219-227
17. L. Wiskott, J.M. Fellous, N. Krüger, C. von der Malsburg, Face Recognition by Elastic Bunch Graph Matching, Technical Report IR-INI 96-08, Institute für Neuroinformatik, Ruhr Universität Bochum, D-44780, Bochum, Germany, 1996.
18. F. Farrokhnia, A.K. Jain, A multi-channel filtering approach to texture segmentation, in: IEEE Conference on Computer Vision and Pattern Recognition, 1991, pp. 364-370.
19. Mallat S.G. Multifrequency channel decompositions of images and wavelet models. IEEE Transactions on Acoustics Speech and Signal Processing 37 12 (1989) 2091-2110
20. 2PCA: 2-Directional 2-Dimensional PCA for efficient face representation and recognition. Neurocomputing 69 (2005) 224-231
21. S. Bi, D. Liang, Texture segmentation using adaptive Gabor filters based on HVS, in: SPIE, vol. 6057, 2006.
22. Z.R. Long Puhui, A new texture segmentation method based on visual perception and phase feature, in: Proceedings of the 3rd International Conference on Signal Processing, 1996, pp. 1015-1018.
23. J. Kittler, M. Hatef, On combining classifiers, in: IEEE Transactions on PAMI, vol. 20, No. 3, 1998, pp. 226-239.