Occlusion invariant face recognition using selective local non-negative matrix factorization basis images

Image and Vision Computing

Volumn 26, Issue 11, 2008, Pages 1515-1523

  Oh, Hyun Jun ^a   Lee, Kyoung Mu ^a   Lee, Sang Uk ^a  

^a South Korea   (South Korea)

Author keywords

Face recognition; Occlusion invariant; Selective local non negative matrix factorization

Indexed keywords

BLIND SOURCE SEPARATION; FACTORIZATION; FEATURE EXTRACTION; FINANCIAL DATA PROCESSING; IMAGE ENHANCEMENT; LIGHT MEASUREMENT; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS;

EUCLIDEAN; FACE DATABASES; FACE IMAGES; FACE REPRESENTATIONS; FINITE NUMBERS; IMAGE PATCHES; LOCAL APPROACH; NEAREST NEIGHBOR RULE; NON-NEGATIVE MATRIX FACTORIZATION; OCCLUSION DETECTION; OCCLUSION INVARIANT; PARTIAL OCCLUSIONS; PRINCIPAL COMPONENTS; RECOGNITION ALGORITHMS; SELECTIVE LOCAL NON-NEGATIVE MATRIX FACTORIZATION; SUPERIOR PERFORMANCE; TRAINING IMAGES; TWO PHASES;

FACE RECOGNITION;

EID: 49549106675     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.imavis.2008.04.016     Document Type: Article

References (22)

1. Jain A. Fundamentals of Digital Image Processing (1982), Prentice-Hall Inc.
2. Trucco E., and Verri A. Introductory Techniques for 3-D Computer Vision (1998), Prentice-Hall Inc.
3. Shapiro L.G., and Stockman G.C. Computer Vision (2001), Prentice-Hall Inc.
4. Leonardis A., and Bischof H. Dealing with occlusions in the eigenspace approach. Proc. IEEE Conf. Comput. Vis. Pattern Recogn. (1996) 453-458
5. Leonardis A., and Bischof H. Robust recognition using eigenimages. Comput. Vis. Image Understanding 78 (2000) 99-118
6. Li S.Z., Hou X.W., Zhang H.J., and Cheng Q.S. Learning spatially localized, part-based representation. Proc. IEEE Conf. Comput. Vis. Pattern Recogn. (2001) 207-212
7. Lee D.D., and Seung H.S. Learning the parts of objects by non-negative matrix factorization. Nature 401 (1999) 788-791
8. Martinez A.M. Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. Pattern Anal. Mach. Intel. 24 6 (2002) 748-763
9. F. Tarres, A. Rama, A novel method for face recognition under partial occlusion or facial expression variations, in: Proc. 47th International Symposium ELMAR-2005, Multimedia Systems and Applications, June 2005.
10. A.M. Marttinez, R. Benavente, The AR Face Database, CVC Technical Report, No. 24, June 1998.
11. Turk M., and Pentland A. Face recognition using eigenfaces. Proc. IEEE Conf. Comput. Vis. Pattern Recogn. (1991) 586-591
12. Sirovich L., and Kirby M. Low-dimensional procedure for the characterization of human faces. J. Opt. soc. Am. A 4 (1987) 519-524
13. Kirby M., and Sirovich L. Application of Karhunen-Love procedure for the characterization of human faces. IEEE Trans. Pattern Anal. Mach. Intel. 12 1 (1990) 103-108
14. Turk M., and Pentland A. Eigenfaces for recognition. J. Cogn. Neurosci. 3 (1991) 71-86
15. Moghaddam B., and Pentland A. Probabilistic visual learning for object recognition. IEEE Trans. Pattern Anal. Mach. Intel. 19 7 (1997) 696-710
16. Belhumeur V.I., Hespanha J.P., and Kriegman D.J. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intel. 19 7 (1997) 711-720
17. D. Tax, One-Class Classification, PhD thesis, Delft University of Technology, 2001.
18. D. de Ridder, D. Tax, R.P.W. Duin, An experimental comparison of one-class classification methods, in: Proc. Fourth Annual Conference of the Advanced School for Computing and Imaging, ASCI, Delft, June 1998.
19. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification (2001), John Wiley & Sons Inc.
20. D.D. Lee, H.S. Seung, Algorithm for non-negative matrix factorization, in: Proc. Neural Information Procession Systems, 2000.
21. Penev P., and Atick J. Local feature analysis: a general statistical theory for object representation. Neural Syst. 7 3 (1996) 1-10
22. R. Gross, J. Shi, J.F. Cohen, Quo vadis Face Recognition? in: Proc. Third Workshop on Empirical Evaluation Methods in Computer Vision, 2001.