Adaptive region-based image enhancement method for robust face recognition under variable illumination conditions

IEEE Transactions on Circuits and Systems for Video Technology

Volumn 20, Issue 9, 2010, Pages 1165-1175

  Du, Shan ^a   Ward, Rabab K ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Adaptive region based face recognition; illumination normalization; image enhancement; image preprocessing

Indexed keywords

3D FACES; ADAPTIVE REGION; ADAPTIVE REGION-BASED FACE RECOGNITION; CARNEGIE MELLON UNIVERSITY; CONTRAST ENHANCEMENT; EDGE ENHANCEMENTS; FACE IMAGES; FACE RECOGNITION SYSTEMS; HIGH FREQUENCY HF; HISTOGRAM EQUALIZATIONS; ILLUMINATION INVARIANT; ILLUMINATION NORMALIZATION; ILLUMINATION VARIATION; IMAGE PREPROCESSING; LIGHTING CONDITIONS; LIGHTING EFFECTS; LOCAL ILLUMINATION; LOW FREQUENCY; MODEL FITTING; PRIOR INFORMATION; REGION-BASED; SINGLE IMAGES; VARIABLE ILLUMINATION; YALE B DATABASE;

DATABASE SYSTEMS; FEATURE EXTRACTION; IMAGE ENHANCEMENT; KNOWLEDGE BASED SYSTEMS; LIGHTING; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 77956840762     PISSN: 10518215     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCSVT.2010.2045817     Document Type: Article

References (31)

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. A. Samal and P. Iyengar, Automatic recognition and analysis of human faces and facial expressions: A survey, Pattern Recognit., vol.25, no.1, pp. 65-77, Jan. 1992.
3. W. Zhao, R. Chellappa, A. Rosenfeld, and P. J. Phillips, Face recognition: A literature survey, ACM Comput. Surveys, vol.35, no.4, pp. 399-458, 2003.
4. M. Turk and A. Pentland, Eigenfaces for recognition, J. Cognitive Neurosci., vol.3, no.1, pp. 71-86, 1991.
5. 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.
6. M. S. Bartlett, J. R. Movellan, and T. J. Sejnowski, Face recognition by independent component analysis, IEEE Trans. Neural Netw., vol.13, no.6, pp. 1450-1464, Nov. 2002.
7. B. Moghaddam, C. Nastar, and A. Pentland, A Bayesian similarity measure for direct measure for direct image matching, in Proc. Int. Conf. Pattern Recognit., vol.2. pp. 350-358, 1996.
8. B. Moghaddam, W. Wahid, and A. Pentland, Beyond eigenfaces: Probabilistic matching for face recognition, in Proc. IEEE Int. Conf. Automat. Face Gesture Recognit., 1998, pp. 30-35.
9. A. Lanitis, C. J. Taylor, and T. F. Cootes, Automatic face identification system using flexible appearance models, Image Vis. Comput., vol.13, no.5, pp. 393-401, Jun. 1995.
10. T. F. Cootes, G. J. Edwards, and C. J. Taylor, Active appearance models, IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.6, pp. 681-685, Jun. 2001.
11. P. Penev and J. Atick, Local feature analysis: A general statistical theory for object representation, Netw. Comput. Neural Syst., vol.7, no.3, pp. 477-500, 1996.
12. L. Wiskott, J. M. Fellous, and C. Von Der Malsburg, Face recognition by elastic bunch graph matching, IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no.7, pp. 775-779, Jul. 1997. (Pubitemid 127762270)
13. V. Govindaraju, D. B. Sher, R. Srihari, and S. N. Srihari, Locating human faces in newspaper photographs, in Proc. IEEE Conf. Comput. Vision Pattern Recognit., 1989, pp. 549-554.
14. S. Edelman, D. Reisfeld, and Y. Yeshurun, A system for face recognition that learns from examples, in Proc. Eur. Conf. Comput. Vision, 1992, pp. 787-791.
15. J. G. Daugman, Uncertainty relation for resolution in space, spatial frequency and orientation, optimized by 2-D cortical filters, J. Optic. Soc. Am., vol.2, pp. 1160-1169, 1985.
16. 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.
17. A. Shashua and T. Riklin-Raviv, The quotient image: Class-based rerendering and recognition with varying illuminations, IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.2, pp. 129-139, Feb. 2001.
18. P. N. Belhumeur, D. J. Kriegman, What is the set of images of an object under all possible lighting conditions? in Proc. IEEE Conf. Comput. Vision Pattern Recognit., 1996, pp. 270-277.
19. A. S. Georghiades, P. N. Belhumeur, and D. J. 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, Jun. 2001.
20. 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.
21. L. Zhang and D. Samaras, Face recognition under variable lighting using harmonic image exemplars, in Proc. IEEE Conf. Comput. Vision Pattern Recognit., vol.1. 2003, pp. 19-25.
22. S. Shan, W. Gao, B. Cao, and D. Zhao, Illumination normalization for robust face recognition against varying lighting conditions, in Proc. IEEE Int. Workshop Anal. Model. Faces Gestures, 2003, pp. 157-164.
23. X. Xie and K. M. Lam, Face recognition under varying illumination based on a 2-D face shape model, Pattern Recognit., vol.38, no.2, pp. 221-230, 2005.
24. W. Zhao and R. Chellappa, Illumination-insensitive face recognition using symmetric shape-from-shading, in Proc. IEEE Conf. Comput. Vision Pattern Recognit., 2000, pp. 286-293.
25. 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, Sep. 2006.
26. X. Xie, W. Zheng, J. Lai, and P. C. Yuen, Face illumination normalization on large and small scale features, in Proc. IEEE Conf. Comput. Vision Pattern Recognit., 2008, pp. 1-8.
27. W. Chen, M. J. Er, and S. Wu, Illumination compensation and normalization for robust face recognition using discrete cosine transform in logarithm domain, IEEE Trans. Syst., Man, Cybern. B: Cybern., vol.36, no.2, pp. 458-466, Apr. 2006.
28. G. Strang and T. Nguyen, Wavelets and Filter Banks. Cambridge, MA: Wellesley-Cambridge, 1997.
29. H. Hajj, T. Nguyen, and R. Chin, On multiscale feature detection using Filter banks, in Proc. IEEE Trans. Sig., vol.1. 1996, pp. 70-74.
30. K. Lee, J. Ho, and D. Kriegman, Acquiring linear subspaces for face recognition under variable lighting, IEEE Trans. Pattern Anal. Mach. Intell., vol.27, no.5, pp. 684-698, May 2005.
31. 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.