Illumination normalization based on weber's law with application to face recognition

IEEE Signal Processing Letters

Volumn 18, Issue 8, 2011, Pages 462-465

  Wang, Biao ^a   Li, Weifeng ^a   Yang, Wenming ^a   Liao, Qingmin ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Face recognition; illumination insensitive representation; Weber's law

Indexed keywords

FACE DATABASE; FACE IMAGES; ILLUMINATION NORMALIZATION; INTENSITY VARIATIONS; RATIO IMAGES; WEBER'S LAW;

FACE RECOGNITION;

EID: 79959557177     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2011.2158998     Document Type: Article

References (19)

1. Y. Adini, Y. Moses, and S. Ullman, "Face recognition: The problem of compensating for changes in illumination direction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 721-732, Jul. 1997 (Pubitemid 127762264)
2. X. Zou, J. Kittler, and K. Messer, "Illumination invariant face recognition: A survey," in Int. Conf. Biometrics: Theory, Applications, and Systems, 2007, pp. 1-8, IEEE
3. P. Belhumeur, A. Georghiades, and D. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 643-660, 2001 (Pubitemid 32585276)
4. R.Basri and D. Jacobs, "Lambertian reflectance and linear subspaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 2, pp. 218-233, 2003
5. S. M. Pizer and E. P. Amburn, "Adaptive histogram equalization and its variations," Comput. Vis. Graph. Image Process., vol. 39, no. 3, pp. 355-368, Jul. 1987 (Pubitemid 17655926)
6. M. Savvides and V. Kumar, "Illumination normalization using logarithm transforms for face authentication," in Proc. IAPR AVBPA, 2003, pp. 549-556
7. H. F. Chen, P. N. Belhumeur, and D. W. Jacobs, "In search of illumination invariants," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2000, pp. 254-261
8. D. Jobson, Z. Rahman, and G. Woodell, "A multiscale retinex for bridging the gap between color images and the human observation of scenes," IEEE Trans. Image Process., vol. 6, no. 7, pp. 965-976, 1997 (Pubitemid 127772284)
9. H. Wang, S. Z. Li, Y. Wang, and J. Zhang, "Face recognition under varing lighting vonditions using self quotient image," in Int. Conf. Automatic Face and Gesture Recognition, 2004, pp. 819-824, IEEE
10. T. Chen, X. S. Zhou, D. Comaniciu, and T. S. Huang, "Total variation models for variable lighting face recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 9, pp. 1519-1524, 2006 (Pubitemid 44132657)
11. X. Tan and B. Triggs, "Enhanced local texture feature sets for face recognition under difficult lighting conditions," IEEE Trans. Image Process., vol. 19, no. 6, pp. 1635-1650, 2010
12. Z. Hou andW. Yau, "Relative gradients for image lighting correction," in ICASSP, 2010, pp. 549-556
13. T. Zhang, Y. Tang, B. Fang, Z. Shang, and X. Liu, "Face recognition under varying illumination using gradient faces," IEEE Trans. Image Process., vol. 18, no. 11, pp. 2599-2606, 2009
14. A. K. Jain, Fundamentals of Digital Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989
15. J. Chen, S. Shan, C.He, G. Zhao, M. Pietikäinen, X. Chen, and W. Gao, "Wld: A robust local image descriptor," IEEE Trans. Pattern Anal. Mach. Intell., vol. 32, no. 9, pp. 1705-1720, 2010
16. G. Zhu, S. Zhang, X. Chen, and C.Wang, "Efficient illumination insensitive object tracking by normalized gradient matching," IEEE Signal Process. Lett., vol. 14, no. 12, pp. 944-947, 2007 (Pubitemid 350201250)
17. O. Dabeer and S. Chaudhuri, "Analysis of an adaptive sampler based on weber's law," IEEE Trans. Signal Process., vol. 59, no. 4, pp. 1868-1878, 2011
18. R. C. Gonzales and R. E. Woods, Digital Image Processing, 2nd Ed. . Upper Saddle River, NJ: Prentice-Hall, 2002
19. T. Sim, S. Baker, and M. Bsat, "The cmu pose, illumination, and expression database," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 12, pp. 1615-1618, 2003