Shadow compensation in 2D images for face recognition

Pattern Recognition

Volumn 40, Issue 7, 2007, Pages 2118-2125

  Choi, Sang Il ^a   Kim, Chunghoon ^a   Choi, Chong Ho ^a  

^a Seoul National University   (South Korea)

Author keywords

Face recognition; Illumination variation; Linear discriminant analysis; Shadow compensation

Indexed keywords

DISCRIMINANT ANALYSIS; IMAGE QUALITY; LINEAR EQUATIONS; THREE DIMENSIONAL COMPUTER GRAPHICS;

ILLUMINATION VARIATION; LINEAR DISCRIMINANT ANALYSIS; SHADOW COMPENSATION;

FACE RECOGNITION;

EID: 33947722899     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.11.020     Document Type: Article

References (25)

1. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 (1991) 71-86
2. Belhumeur P.N., Hespanha J.P., and Kriegman D.J. Eigenfaces versus fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 19 7 (1997) 711-720
3. Bartlett M.S., Movellan J.R., and Sejnowski S. Face recognition by independent component analysis. IEEE Trans. Neural Networks 13 6 (2002) 1450-1464
4. Shashua A. On photometric issue in 3D visual recognition from a single 2D image. Int. J. Comput. Vision 21 (1997) 99-122
5. Batur A.U., and Hayes III M.H. Linear subspaces for illumination robust face recognition. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol. 2 (2001) 296-301
6. Georghiades A.S., and Belhumeur P.N. From few to many: illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. 23 2 (2001) 643-660
7. Lee J.C., Ho J., and Kriegman D. Nine points of light: acquiring subspaces for face recognition under variable lighting. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol. 1 (2001) 519-526
8. Basri R., and Jacobs D.W. Lambertian reflectance and linear subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 25 2 (2003) 218-233
9. Zhang L., and Samaras D. Face recognition under variable lighting using harmonic image exemplars. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol. 1 (2003) 19-25
10. Li Q., Ye J., and Kambhamettu C. Linear projection methods in face recognition under unconstrained illuminations: a comparative study. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol. 2 (2004) 474-481
11. Shen L.S., Liu D.H., and Lam K.M. Illumination invariant face recognition. Pattern Recognition 38 (2005) 1705-1716
12. Xie X., and Lam K.-M. Face recognition under varing illumination based on a 2D face shape model. Pattern Recongnition 38 (2005) 221-230
13. Xie X., and Lam K.-M. An efficient method for face recognition under varying illumination. Proceedings of the IEEE International Symposium on Circuits and Systems (2005) 3841-3844
14. Xie X., and Lam K.-M. An efficient illumination normalization method for face recognition. Pattern Recognition Lett. 27 (2006) 609-617
15. Song Y.-J., Kim Y.-G., Chang U.-D., and Kwon H.B. Face recognition robust to left/right shadows; facial symmetry. Pattern Recognition 39 (2006) 1542-1545
16. Brunelli R., and Poggio T. Face recognition: features versus templates. IEEE Trans. Pattern Anal. Mach. Intell. 15 10 (1993) 1042-1052
17. Pentland A., Moghaddam B., and Starner T. View-based and modular eigenspaces for face recognition. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1994) 84-91
18. Kim C., Oh J., and Choi C.-H. Combined subspace method using global and local features for face recognition. Proceedings of the International Joint Conference on Neural Networks (2005) 2030-2035
19. Sim T., Baker S., and Bsat M. The CMU pose, illumination, and expression database. IEEE Trans. Pattern Anal. Mach. Intell. 25 12 (2003) 1615-1618
20. Gonzales R.C., and Woods R.E. Digital Image Processing. second ed. (2002), Prentice-Hall, New Jersey
21. Fukunaga K. Introduction to Statistical Pattern Recognition. second ed. (1990), Academic Press, New York
22. Liu C., and Wechsler H. Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition. IEEE. Trans. Image Process. 11 4 (2002) 467-476
23. Belhumeur P.N., Kriegman D.J., and Yuille A.L. The bas-relief ambiguity. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1997) 1060-1066
24. Chen H.F., Belhumeur P.N., and Jacobs D.W. In search of illumination invariants recognition under variable lighting and pose. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol. 1 (2000) 254-261
25. Price J.R., and Gee T.F. Face recognition using direct, weighted linear discriminant analysis and modular subspaces. Pattern Recognition 38 (2005) 209-219