Gabor-based region covariance matrices for face recognition

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 18, Issue 7, 2008, Pages 989-993

  Pang, Yanwei ^a,b   Yuan, Yuan ^a,c   Li, Xuelong ^a,d  

^a IEEE

^b TIANJIN UNIVERSITY   (China)

^c ASTON UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Biometrics; Face recognition; Gabor; Region covariance matrix (RCM)

Indexed keywords

COVARIANCE MATRIX; MATRIX ALGEBRA;

DESCRIPTORS; EXPERIMENTAL RESULTS; GABOR COEFFICIENTS; HUMAN FACE RECOGNITION; NEW METHODS;

FACE RECOGNITION;

EID: 46349092653     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2008.924108     Document Type: Article

References (23)

1. G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., vol. 12, pp. 2385-2404, 2000.
2. P. N. Belhumeur, J. P. Hespanha, and D. I. Kriegman, "Eigenfaces versus Fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal., Mach. Intell., vol. 19, no. 7, pp. 771-720, Jul. 1997.
3. W. Forstner and B. Moonen, "A metric for covariance matrices," Dept. Geodesy Geoinform., Stuttgart Univ., Stuttgart, Germany, Tech. Rep., 1999.
4. T. S. Lee, "Image representation, using 2-D Gabor wavelets," IEEE Trans. Pattern Anal. Mach. Intell, vol. 18, no. 10, pp. 959-971, Oct. 1996.
5. C. Liu and H. Wechsler, "Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition," IEEE Trans. Image Process., vol. 11, no. 4, pp. 467-476, Apr. 2002.
6. A. M. Martinez and A. C. Kak, "PCA versus LDA," IEEE Trans. Pattern Anal, Mach. Intell., vol. 23, no. 2, pp. 228-233, Feb. 2001.
7. P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek, "Overview of the face recognition grand challenge," in Proc. IEEE Comput. Vision Pattern Recog. Conf., 2005, pp. 947-954.
8. P. J. Phillips, H. Moon, S. A. Rivzi, and P. J. Rauss, "The FERET evaluation methodology for face-recognition algorithms," IEEE Trans. Pattern Anal. Machine Intell., vol. 22, no. 10, pp. 1090-1104, Oct. 2000.
9. F. Porikli and T. Kocak, "Robust license plate detection using covariance descriptor in a neural network framework," in Proc. IEEE Adv. Video Signal Based Surveillance Conf., 2006, p. 107.
10. F. Porikli and O. Tuzel, "Fast construction of covariance matrices for arbitrary size image windows," in Proc. IEEE Int. Image Process. Conf., 2006, pp. 1581-1584.
11. F. Porikli, O. Tuzel, and P. Meer, "Covariance tracking using model update based on lie algebra," in Proc. IEEE Comput. Vision Pattern Recog. Conf., 2006, pp. 728-735.
12. B. Scholkopf, A. Smola, and K. R. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, pp. 1299-1319, 1998.
13. S. Shan, Y. Chang, W. Gao, B. Cao, and P. Yang, "Curse of mis-alignment in face recognition: Problem and a novel mis-alignment learning solution," in Proc. IEEE Autom. Face Gesture Recog. Conf., 2004, pp. 314-320.
14. D. Tao, X. Li, X. Wu, and S. J. Maybank, "General tensor discriminant analysis and Gabor features for gait recognition," IEEE Trans. Pattern Anal. Machine Intell., vol. 29, no. 10, pp. 1700-1715, Oct. 2007.
15. D. Tao, X. Tang, and X. Li, "Which components are important for interactive image searching?," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 1, pp. 3-1.1, Jan. 2008.
16. D. Tao, X. Tang, X. Li, and Y. Rui, "Direct kernel biased discriminant analysis: A new content-based image retrieval relevance feedback algorithm," IEEE Trans. Multimedia, vol. 8, no. 4, pp. 716-727, Aug. 2006.
17. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cognitive Neurosci., vol. 3, no. 1, pp. 71-86, 1991.
18. O. Tuzel, F. Porikli, and P. Meer, "Region covariance: A fast descriptor for detection and classification," in Proc. Eur. Comput. Vision Conf., 2006, vol. 2, pp. 589-600.
19. O. Tuzel, F. Porikli, and P. Meer, "Human, detection via classification on Riemannian manifolds," in Proc. IEEE Comput. Vision Pattern Recog. Conf., 2007, pp. 1-8.
20. L. Wiskott, J. Fellous, N. Kruger, and C Malsburg, "Face recognition by elastic bunch, graph matching," IEEE Trans. Pattern Anal Mach. Intell., vol. 19, no. 7, pp. 775-779, Jul. 1997.
21. D. Xu, S. Yan, D. Tao, L. Zhang, X. Li, and H. Zhang, "Human gait recognition with matrix representation," IEEE Trans. Circuits Syst. Video Technol., vol. 16, no. 7, pp. 896-903, Dec. 2006.
22. W. Zhao, R. Chellappa, A. Rosenfeld, and P. J. Phillips, "Face recognition: A literature survey," ACM Comput. Surveys, vol. 35, no. 4, pp. 399-458, 2003.
23. X. Li, S. Lin, S. Yan, and D. Xu, "Discriminant locally linear embedding with high-order tensor data," IEEE Trans. Syst., Man, Cybern. B. Cybern, vol. 38, no. 2, pp. 342-352, Apr. 2008.