Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 36, Issue 2, 2006, Pages 458-466

  Chen, Weilong ^a   Er, Meng Joo ^a   Wu, Shiqian ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Discrete cosine transform; Face recognition; Illumination normalization; Logarithm transform

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COSINE TRANSFORMS; FEATURE EXTRACTION; LIGHTING; MATHEMATICAL MODELS; REAL TIME SYSTEMS;

DISCRETE COSINE TRANSFORM; ILLUMINATION COMPENSATION; ILLUMINATION NORMALIZATION; LOGARITHM TRANSFORM; ROBUST FACE RECOGNITION;

FACE RECOGNITION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; LETTER; METHODOLOGY; PHOTOGRAPHY; PHOTOMETRY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; LIGHTING; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; PHOTOMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33645000428     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2005.857353     Document Type: Article

References (25)

1. R. Chellappa, C. L. Wilson, and S. Sirohey, "Human and machine recognition of faces: A survey," Proc. IEEE, vol. 83, no. 5, pp. 705-740, May 1995.
2. 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, 1987.
3. S. Shan, W. Gao, B. Cao, and D. Zhao, "Illumination normalization for robust face recognition against varying lighting conditions," in Proc. IEEE Workshop on AMFG, 2003, pp. 157-164.
4. M. Savvides and V. Kumar, "Illumination normalization using logarithm transforms for face authentication," in Proc. IAPR AVBPA, 2003, pp. 549-556.
5. X. Xie and K.-M. L, "Face recognition under varying illumination based on a 2D face shape model," Pattern Recognit., to be published.
6. P. N. Belhumeur and D. J. Kriegman, "What is the set of images of an object under all possible illumination conditions," Int. J. Comput. Vis., vol. 28, no. 3, pp. 245-260, Jul. 1998.
7. A. S. Georghiades, P. N. Belhumeur, and D. W. Jacobs, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach. Intel., vol. 23, no. 6, pp. 630-660, Jun. 2001.
8. H. F. Chen, P. N. Belhumeur, and D. J. Kriegman, "In search of illumination invariants," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, 2000, pp. 13-15.
9. 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.
10. R. Basri and D. W. Jacobs, "Lambertian reflectance and linear subspaces," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 2, pp. 218-233, Feb. 2003.
11. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces versus Fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
12. A. Shashua and T. Riklin-Raviv, "The quotient image: Class-based re-rendering and recognition with varing illuminations," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 2, pp. 129-139, Feb. 2001.
13. W. Zhao and R. Chellappa, "Illumination-insensitive face recognition using symmetric shape-from-shading," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2000, pp. 286-293.
14. L. Zhang and D. Samaras, "Face recognition under variable lighting using harmonic image exemplars," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 1, 2003, pp. 19-25.
15. J. Zhao, Y. Su, D. Wang, and S. Luo, "Illumination ratio image: synthesizing and recognition with varying illuminations," Pattern Recognit. Lett., vol. 24, pp. 2703-2710, 2003.
16. K.-C. Lee, J. Ho, and D. J. Kriegman, "Acquiring linear subspaces for face recognition under variable lighting," IEEE Trans. Trans. Pattern Anal. Mach. Intell., vol. 27, no. 5, pp. 684-698, May 2005.
17. E. H. Land and J. J. McCann, "Lightness and retinex theory," J. Opt. Soc. Amer., vol. 61, pp. 1-11, 1971.
18. S. K. Nayar and R. M. Bolle, "Reflectance based object recognition," Int. J. Comput. Vis., vol. 17, no. 3, pp. 219-240, 1996.
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, Dec. 2003.
20. Z. M. Hafed and M. D. Levine, "Face recognition using the discrete cosine transform," Int. J. Comput. Vis., vol. 43, no. 3, pp. 167-188, 2001.
21. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Reading, MA: Addison-Wesley, 1992.
22. M. A. Turk and A. P. Pentland, "Eigenfaces for recognition," J. Cog. Neurosci., vol. 3, pp. 71-86, 1991.
23. B. K. P. Horn, Robot Vision. Cambridge, MA: MIT Press, 1986.
24. K. R. Rao and P. Yip, Discrete Cosine Transform: Algorithms, Advantages, Applications. Boston, MA: Academic, 1990.
25. W. Pennebaker and J. Mitchell, JPEG Still Image Data Compression Standard. New York: Van Nostrand Reinhold, 1993.