Partial & holistic face recognition on FRGC-II data using support vector machine kernel correlation feature analysis

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 2006, Issue , 2006, Pages

  Savvides, M ^a   Abiantun, R ^a   Heo, J ^a   Park, S ^a   Xie, C ^a   Vijayakumar, B V K ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIMENSIONALITY REDUCTION; FACIAL EXPRESSIONS; SUPPORT VECTOR MACHINES;

ALGORITHMS; CORRELATION METHODS; FEATURE EXTRACTION; IMAGE ANALYSIS; LEARNING SYSTEMS;

FACE RECOGNITION;

EID: 33845549527     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2006.153     Document Type: Conference Paper

References (15)

1. M. Turk and A. Pentland, "Eigenfaces for Recognition," Journal of Cognitive Nenroscience, Vol. 3, pp.72-86, 1991.
2. P.Belhumeur, J. Hespanha, and D. Kriegman, "Eigenfaces vs Fisherfaces: Recognition Using Class Specific Linear Projection," IEEE Trans. PAMI, Vol.19. No.7, pp.711- 720, 1997.
3. L.F. Chen, H.Y.M. Liao, M.T. Ko, J.C. Lin, and G.J. Yu, "A new LDA-based face recognition system which can solve the small sample size problem," Pattern Recognition, Vol. 33, pp. 1713-1726, 2000
4. W. Zheng, C. Zou, and L. Zhao, "Real-Time Face Recognition Using Gram-Schmidt Orthogonalization for LDA," IEEE Conf. Pattern Recognition (ICPR) , pp.403-406, 2004
5. M. Savvides, B.V.K. Vijaya Kumar and P.K. Khosla, "Face verification using correlation filters," Proc. Of Third IEEE Automatic Identification Advanced Technologies, Tarrytown, NY, pp.56-61, 2002.
6. M. Savvides, B.V.K. Vijaya Kumar and P.K. Khosla, "Corefaces - Robust Shift Invariant PCA based Correlation Filter for Illumination Tolerant Face Recognition", IEEE Computer Vision and Pattern Recognition(CVPR), Vol2, II-834-841, July2004.
7. C. Xie, M. Savvides, and B.V.K. Vijaya Kumar, "Redundant Class-Dependence Feature Analysis Based on Correlation Filters Using FRGC2.0 Data," IEEE Conf. Computer Vision and Pattern Recognition(CVPR) , 2005
8. A. Mahalanobis, B.V.K. Vijaya Kumar, and D. Casasent, "Minimum average correlation energy filters," Appl. Opt. 26, pp. 3633-3630, 1987.
9. nd Edition), New York: Academic Press, 1990
10. V. N. Vapnik, The Nature of Statistical Learning Theory, New York: Springer-Verlag, 1995.
11. B. Scholkopf, Support Vector Learning, Munich, Germany: Oldenbourg-Verlag, 1997.
12. P. J. Phillips, "Support vector machines applied to face recognition," Advances in Neural Information Processing Systems 11, M. S. Kearns, S. A. Solla, and D. A. Cohn, eds., 1998.
13. 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," IEEE Conf. Computer Vision and Pattern Recognition(CVPR), 2005
14. M.H Yang, "Kernel Eigenfaces vs. Kernel Fisherfaces: Face Recognition using Kernel Methods," IEEE Conf. Automatic Face and Gesture Recognition, pp. 215-220, 2002
15. th International Conf. on Audio and Video Based Biometric Person Authentication (AVBPA), 2003