Image-based face recognition under illumination and pose variations

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 22, Issue 2, 2005, Pages 217-229

  Zhou, Shaohua Kevin ^a,b   Chellappa, Rama ^a  

^a UNIVERSITY OF MARYLAND   (United States)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE CODING; MATHEMATICAL MODELS; MATRIX ALGEBRA; VECTORS;

IMAGE BASED FACE RECOGNITION; LAMBERTIAN REFLECTANCE MODEL;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BODY POSTURE; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FACE; HISTOLOGY; HUMAN; ILLUMINATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PHOTOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 13644263704     PISSN: 10847529     EISSN: None     Source Type: Journal    
DOI: 10.1364/JOSAA.22.000217     Document Type: Article

References (33)

1. W. Zhao, R. Chellappa, A. Rosenfeld, and J. Phillips, "Face recognition: a literature survey," ACM Comput. Surv. 12, 399-458 (2003).
2. P. Phillips, H. Moon, S. Rizvi, and P. Rauss, "The FERET evaluation methodology for face-recognition algorithms," IEEE Trans. Pattern Anal. Mach. Intell. 22, 1090-1104 (2000).
3. R. Basri and D. Jacobs, "Lambertian reflectance and linear subspaces," IEEE Trans. Pattern Anal. Mach. Intell. 25, 218-233 (2003).
4. A. Georghiades, P. Belhumeur, and D. Kriegman, "From few to many: illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach. Intell. 23, 643-660 (2001).
5. A. Shashua and T. R. Raviv, "The quotient image: class based re-rendering and recognition with varying illumination," IEEE Trans. Pattern Anal. Mach. Intell. 23, 129-139 (2001).
6. A. Yuille, D. Snow, R. Epstein, and P. Belhumeur, "Determining generative models for objects under varying illumination: shape and albedo from multiple images using SVD and integrability," Int. J. Comput. Vision 35, 203-222 (1999).
7. S. Zhou, R. Chellappa, and D. Jacobs, "Characterization of human faces under illumination variations using rank, integrability, and symmetry constraints," in Proceedings of the European Conference on Computer Vision (Springer-Verlag, Berlin, 2004), Vol. 1, pp. 588-601.
8. V. Blanz and T. Vetter, "Face identification across different poses and illumination with a 3D morphable model," IEEE Trans. Pattern Anal. Mach. Intell. 25, 1063-1074 (2003).
9. P. Fua, "Regularized bundle adjustment to model heads from image sequences without calibrated data," Int. J. Comput. Vision 38, 153-157 (2000).
10. A. Roy Chowdhury and R. Chellappa, "Face reconstruction from video using uncertainty analysis and a generic model," Comput. Vision Image Underst. 91, 188-213 (2003).
11. Y. Shan, Z. Liu, and Z. Zhang, "Model-based bundle adjustment with application to face modeling," in Proceedings of the IEEE International Conference on Computer Vision (IEEE Press, Piscataway, N.J., 2001), Vol. 2, pp. 644-651.
12. A. Laurentini, "The visual hull concept for silhouette-based image understanding," IEEE Trans. Pattern Anal. Mach. Intell. 16, 150-162 (1994).
13. M. Levoy and P. Hanrahan, "Light field rendering," in Proceedings of SIGGRAPH (www.siggraph.org, 1996), pp. 31-42.
14. W. Matusik, C. Buehler, R. Raskar, S. Gortler, and L. McMillan, "Image-based visual hulls," in Proceedings of SIGGRAPH (www.siggraph.org, 2000), pp. 369-374.
15. G. Qian and R. Chellappa, "Structure from motion using sequential Monte Cario methods," in Proceedings of the IEEE International Conference on Computer Vision (IEEE Press, Piscataway, N.J., 2001), Vol. 2, pp. 614-621.
16. S. J. Gortler, R. Grzeszczuk, R. Szeliski, and M. Cohen, "The lumigraph," in Proceedings of SIGGRAPH (www. sig-graph.org, 1996), pp. 43-54.
17. A. Roy Chowdhury and R. Chellappa, "Stochastic approximation and rate distortion analysis for robust structure and motion estimation," Int. J. Comput. Vis. 55, 27-53 (2003).
18. M. Kirby and L. Sirovich, "Application of Karhunen-Loeve procedure of the characterization of human faces," IEEE Trans. Pattern Anal. Mach. Intell. 12, 103-108 (1990).
19. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cogn. Neurosci. 3, 72-86 (1991).
20. R. Gross, I. Matthews, and S. Baker, "Eigen light-fields and face recognition across pose," in Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (IEEE Press, Piscataway, N.J., 2002), pp. 3-9.
21. R. Gross, I. Matthews, and S. Baker, "Fisher light-fields for face recognition across pose and illumination," in Proceedings of the 24th Symposium of the German Association for Pattern Recognition (DAGM (Springer-Verlag, Berlin, 2002), pp. 481-489.
22. T. Sim, S. Baker, and M. Bsat, "The CMU pose, illumination, and expression (PIE) database," in Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (IEEE Press, Piscataway, N.J., 2002), pp. 53-58.
23. S. Zhou and R. Chellappa, "Rank constrained recognition under unknown illumination," in IEEE International Workshop on Analysis and Modeling of Faces and Gestures (IEEE Press, Piscataway, N.J., 2003), pp. 11-18.
24. A. Shashua, "On photometric issues in 3D visual recognitio from a single 2D image," Int. J. Comput. Vision 21, 99-122 (1997).
25. A. Pentland, B. Moghaddam, and T. Starner, "View-based and modular eigenspaces for face recoguition," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (IEEE Computer Society, Los Alamitos, Calif., 1994), pp. 84-91.
26. M. A. O. Vasilescu and D. Terzopoulos, "Multilinear analysis of image ensembles: tensorfaces," in European Conference on Computer Vision (Springer-Verlag, Berlin, 2002), Vol. 1, pp. 447-460.
27. S. Romdhani and T. Vetter, "Efficient, robust and accurate fitting of a 3D morphable model," in Proceedings of the IEEE International Conference on Computer Vision (IEEE Press, Piscataway, N.J., 2003), pp. 59-66.
28. A. Lanitis, C. J. Taylor, and T. F. Cootes, "Automatic interpretation and coding of face images using flexible models," IEEE Trans. Pattern Anal. Mach. Intell. 19, 743-756 (1997).
29. T. Vetter and T. Poggio, "Linear object classes and image synthesis from a single example image," IEEE Trans. Pattern Anal. Mach. Intell. 19, 733-742 (1997).
30. In our current implementation, the L vector is not completely shape free, since we use a simple normalization operation.
31. W. T. Freeman and J. B. Tenenbaum, "Learning bilinear models for two-factor problems in vision," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (IEEE Computer Society, Los Alamitos, Calif., 1997), pp. 554-560.
32. M. Brand, "Incremental singular value decomposition of uncertain data with missing values," in European Conference on Computer Vision (Springer-Verlag, Berlin, 2002), Vol. 1, pp. 707-720.
33. H. Gupta, "Contour based 3D face modeling from monocular video," M.S. dissertation (University of Maryland, College Park, Md., 2003).