Local ridge regression for face recognition

Neurocomputing

Volumn 72, Issue 4-6, 2009, Pages 1342-1346

  Xue, Hui ^a,b   Zhu, Yulian ^a   Chen, Songcan ^a,b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

Face recognition; Local information; Local ridge regression (LRR); Ridge regression (RR)

Indexed keywords

APPROPRIATE TECHNIQUES; COVARIATE; CROSS VALIDATIONS; DEGREE OF SYMMETRIES; DIMENSIONALITY REDUCTIONS; EIGENFACE; FACE DATABASES; FACE IMAGES; FACE RECOGNITION TECHNIQUES; FACE REGIONS; FACIAL COMPONENTS; GEOMETRICAL INFORMATIONS; HOLISTIC METHODS; ILLUMINATION VARIATIONS; LINEAR DEPENDENCIES; LOCAL INFORMATION; LOCAL REGIONS; LOCAL RIDGE REGRESSION (LRR); LOCAL VARIATIONS; NOVEL ALGORITHMS; PARTIAL OCCLUSIONS; PRE-PROCESSING; RECOGNITION ACCURACIES; REGULARIZATION PARAMETERS; REGULARIZED LEAST SQUARES; RIDGE REGRESSION (RR); SUB SPACES;

CURVE FITTING; IMAGE ENHANCEMENT; REGRESSION ANALYSIS; VECTORS;

FACE RECOGNITION;

ACCURACY; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION ALGORITHM; CLASSIFIER; FACIAL EXPRESSION; GEOMETRY; INTERMETHOD COMPARISON; PRIORITY JOURNAL; REGRESSION ANALYSIS;

EID: 58149464103     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.09.007     Document Type: Article

References (24)

1. An S., Liu W., and Venkatesh S. Face recognition using kernel ridge regression (2007), CVPR
2. Bart E., and Ullman S. Class-based feature matching across unrestricted transformations. IEEE Trans. Pattern Anal. Mach. Intell. 30 9 (2008) 1618-1631
3. Belhumeur P., Hespanha J., and Kriegman D. Eigenfances vs fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 711-720
4. Chen S., and Zhu Y. Subpattern-based principle component analysis. Pattern Recognition 37 5 (2004) 1081-1083
5. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification (2001), Wiley, New York
6. X. Geng, Z. Zhou, Image region selection and ensemble for face recognition, JCST, 2006.
7. Heisele B., Ho P., Wu J., and Poggio T. Face recognition: component-based versus global approaches. Comput. Vision Image Understanding 91 1 (2003) 6-12
8. Hong Q., Chen S., and Ni X. Sub-pattern canonical correlation analysis with application in face recognition. Acta Automatica Sin. 34 1 (2008) 21-30 (In Chinese)
9. Martinez A.M. Recognizing imprecisely localized, partically occluded and expression variant faces from a single sample per class. IEEE Trans. Pattern Anal. Mach. Intell. 24 6 (2002) 748-763
10. A.M. Martinez, R. Benavente, The AR face database, CVC Technical Report #24, June, 1998.
11. Pentland A., Moghaddam B., and Starner T. View-based and modular eigenspaces for face recognition. CVPR (1994) 84-91
12. Perrett D.I., Smith P.A.J., Potter D.D., Mistlin A.J., Head A.S., Milner A.D., and Jeeves M.A. Visual cells in the temporal cortex sensitive to face view and gaze direction. Proc. R. Soc. London. Ser. B 223 (1985) 293-317
13. R. Singh, M. Vatsa, A. Noore, Face recognition with disguise and single gallery images, Image Vision Comput., 2008.
14. Tan K., and Chen S. Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 64 (2005) 505-511
15. Tao D., Li X., Wu X., Hu W., and Maybank S.J. Supervised tensor learning. Knowl. Inf. Syst. 13 1 (2007) 1-42
16. Tao D., Li X., Wu X., and Maybank S.J. General tensor discriminant analysis and Gabor features for gait recognition. IEEE Trans. Pattern Anal. Mach. Intell. 29 10 (2007) 1700-1715
17. D. Tao, J. Sun, J. Shen, X. Wu, X. Li, S.J. Maybank, C. Faloutsos, Bayesian tensor analysis, in: IEEE International Joint Conference on Neural Networks (IJCNN), 2008.
18. The extended Yale face database B 〈http://ews.uiuc.edu/dengcai2/Data/data.html〉.
19. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 1 (1991) 71-86
20. Xu D., Yan S., Tao D., Lin S., and Zhang H. Marginal Fisher analysis and its variants for human gait recognition and content-based image retrieval. IEEE Trans. Image Process. 16 11 (2007) 2811-2821
21. T. Zhang, K. Huang, X. Li, J. Yang, D. Tao, Discriminative orthogonal neighborhood preserving projections for classification, IEEE Trans. Syst. Man Cybern. Part: B, 2008.
22. T. Zhang, D. Tao, J. Yang. Discriminative locality alignment, in: Proceedings of the 10th European Conference on Computer Vision (ECCV), 2008.
23. Zhou H., Yuan Y., and Sadka A.H. Application of semantic features in face recognition. Pattern Recognition 41 10 (2008) 3251-3256
24. Zou J., Ji Q., and Nagy G. A comparative study of local matching approach for face recognition. IEEE Trans. Image Process. 16 10 (2007) 2617-2628