Bidirectional relighting for 3D-aided 2D face recognition

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 2721-2728

  Toderici, G ^a   Passalis, G ^a,b   Zafeiriou, S ^d   Tzimiropoulos, G ^d   Petrou, M ^c,d   Theoharis, T ^a,b   Kakadiaris, I A ^a  

^a UNIVERSITY OF HOUSTON   (United States)

^b UNIVERSITY OF ATHENS   (Greece)

^c ITI CERTH ^*  (Greece)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

2D IMAGES; 2D TEXTURES; 3D DATA; 3D MODELS; COMPLEX WAVELETS; GLOBAL SIMILARITY; ILLUMINATION CHANGES; NORMALIZED IMAGE; POSE VARIATION; RELIGHTING; SIMILARITY METRICS; STRUCTURAL SIMILARITY; SUBJECT-SPECIFIC; VIEW-DEPENDENT;

COMPUTER VISION; FACE RECOGNITION; PROBES;

THREE DIMENSIONAL;

EID: 77955994547     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539995     Document Type: Conference Paper

References (24)

1. R. Basri and D. Jacobs. Lambertian reflectance and linear subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(2):218-233, Feb. 2003. 2
2. S. Biswas, G. Aggarwal, and R. Chellappa. Robust estimation of albedo for illumination-invariant matching and shape recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31:884-899, 2009. 2
3. V. Blanz and T. Vetter. Face recognition based on fitting a 3D morphable model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(9):1063-1074, 2003. 1, 2
4. K. Bowyer, K. Chang, and P. Flynn. A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition. Computer Vision and Image Understanding, 101(1):1-15, Jan. 2006. 1
5. D. Huang, M. Ardabilian, Y. Wang, and L. Chen. Asymmetric 3d/2d face recognition based on lbp facial representation and canonical correlation analysis. In Proc. 16th IEEE International Conference on Image Processing, pages 3325-3328, Cairo, Egypt, Nov. 2009. 2
6. I. A. Kakadiaris, G. Passalis, G. Toderici, M. Murtuza, Y. Lu, N. Karampatziakis, and T. Theoharis. Three-dimensional face recognition in the presence of facial expressions: An annotated deformable model approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4):640-649, Apr. 2007. 2, 3, 7
7. L1 Identity Solutions. L1 FaceIt SDK. 7
8. J. Lee, R. Machiraju, H. Pfister, and B. Moghaddam. Estimation of 3D faces and illumination from single photographs using a bilinear illumination model. In Proc. Eurographics Symposium on Rendering, pages 73-82, Konstanz, Germany, Jun. 29 - Jul. 1 2005. 2
9. M. Osadchy, D. Jacobs, and M. Lindenbaum. Surface dependent representations for illumination insensitive image comparison. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(1):98-111, 2007. 5
10. E. Pekalska, P. Paclik, and R. Duin. A generalized kernel approach to dissimilarity-based classification. Journal of Machine Learning Research, Special Issue on Kernel Methods, 2(2):175-211, 2002. 7
11. P. J. Phillips,W. T. Scruggs, A. J. O'Toole, P. J. Flynn, K.W. Bowyer, C. L. Schott, and M. Sharpe. FRVT 2006 and ICE 2006 large-scale experimental results. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32:831-846, 2010. 1
12. B. Phong. Illumination for computer generated pictures. Communications of the ACM, 18(6):311-317, 1975. 3
13. J. Portilla and E. Simoncelli. A parametric texture model based on joint statistic of complex wavelet coefficients. International Journal of Computer Vision, 40:49-71, 2000. 4
14. D. Riccio and J.-L. Dugelay. Geometric invariants for 2D/3D face recognition. Pattern Recognition Letters, 28(14):1907-1914, 2007. 2
15. W. Smith and E. Hancock. Estimating the albedo map of the face from a single image. In Proc. IEEE International Conference on Image Processing, volume 3, pages 780-783, Genoa, Italy, Sep. 11-14 2005. 2
16. G. Toderici, G. Passalis, T. Theoharis, and I. A. Kakadiaris. An automated method for human face modeling and relighting with application to face recognition. In Proc. Workshop on Photometric Analysis For Computer Vision, Rio de Janeiro, Brazil, Oct. 14-21 2007. 3, 4
17. F. Tsalakanidou, S. Malassiotis, and M. Strintzis. A 2D+3D face identification system for surveillance applications. In Proc. IEEE International Conference on Advanced Video and Signal based Surveillance, pages 194-199, London, UK, Sep. 5-7 2007. 2
18. UH Computational Biomedicine Lab. UHDB11 face database. http://cbl.uh.edu/URxD/datasets/, 2009. 6
19. UH Computational Biomedicine Lab. UHDB12 face database. http://cbl.uh.edu/URxD/datasets/, 2009. 6
20. Y. Wang, L. Zhang, Z. Liu, G. Hua, Z. Wen, Z. Zhang, and D. Samaras. Face relighting from a single image under arbitrary unknown lighting conditions. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(11):1968-1984, Nov. 2009. 2
21. Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing, 13(4):600-612, 2004. 4
22. Z. Wang and E. Simoncelli. Translation insensitive image similarity in complex wavelet domain. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, volume II, pages 573-576, Philadelphia, PA, Mar. 18-25 2005. 4
23. L. Yin and M. Yourst. 3D face recognition based on highresolution 3D face modeling from frontal and profile views. In Proc. ACM SIGMMWorkshop on Biometrics Methods and Applications, pages 1-8, New York, NY, Nov. 8 2003. 2
24. Z. Zhou, A. Ganesh, J. Wright, S.-F. Tsai, and Y. Ma. Nearest-subspace patch matching for face recognition under varying pose and illumination. In Proc. 8th IEEE International Conference on Automatic Face Gesture Recognition, pages 1 -8, Amsterdam, The Netherlands, Sept. 2008. 2