Benchmarking asymmetric 3D-2D face recognition systems

2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013

Volumn , Issue , 2013, Pages

  Zhao, Xi ^a   Zhang, Wuming ^b   Evangelopoulos, Georgios ^a   Huang, Di ^c   Shah, Shishir K ^a   Wang, Yunhong ^c   Kakadiaris, Ioannis A ^a   Chen, Liming ^b  

^a University of Houston   (United States)

^b ECOLE CENTRALE DE LYON   (France)

^c BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

3D FACE MODELS; DEFORMABLE MODELS; EXPERIMENTAL PROTOCOLS; FACE RECOGNITION SYSTEMS; LIGHTING VARIATIONS; ORIENTED GRADIENTS; POSE ESTIMATION; RANDOM FORESTS;

ALGORITHMS; BENCHMARKING; DECISION TREES; LIGHTING; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 84881505534     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FG.2013.6553819     Document Type: Conference Paper

References (24)

1. 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 of Photometric Analysis for Computer Vision, Rio de Janeiro, Brazil, Oct. 14 2007.
2. A. Abate, M. Nappi, D. Riccio, and G. Sabatino. 2D and 3D face recognition: A survey. Pattern Recognition Letters, 28(14): 1885-1906, 2007.
3. R. Basri and D. Jacobs. Lambertian reflectance and linear subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25(2): 218-233, Feb. 2003.
4. 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.
5. 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, January 2006.
6. B. Efraty, C. Huang, S. Shah, and I. Kakadiaris. Facial landmark detection in uncontrolled conditions. In Proc. International Joint Conference on Biometrics, pages 370-376, Washington, DC, Oct. 11-13 2011.
7. D. Huang, M. Ardabilian, Y. Wang, and L. Chen. Automatic asymmetric 3D-2D face recognition. In Proc. 20th International Conference on Pattern Recognition, pages 1225-1228, Istanbul, Turkey, August 23-26 2010.
8. I. Kakadiaris, G. Passalis, G. Toderici, M. N. 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, 2007.
9. Pittsburgh Pattern Recognition. PittPatt face recognition software development kit (PittPatt SDK) v5.2. http://www.pittpatt.com, March 2011.
10. A. Rama, F. Tarres, D. Onofrio, and S. a. Tubaro. Mixed 2D-3D information for pose estimation and face recognition. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pages III-776-9, 11-14 Sept. 2006.
11. D. Riccio and J.-L. Dugelay. Geometric invariants for 2D/3D face recognition. Pattern Recognition Letters, 28(14): 1907-1914, 2007.
12. S. Romdhani, J. Ho, T. Vetter, and D. J. Kriegman. Face recognition using 3-D models: Pose and illumination. Proceedings of the IEEE, 94(11): 1977-1999, Nov 2006.
13. G. Toderici, G. Passalis, S. Zafeiriou, G. Tzimiropoulos, M. Petrou, T. Theoharis, and I. Kakadiaris. Bidirectional relighting for 3D-aided 2D face recognition. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010, pages 2721-2728, San Francisco, CA, June 13-18 2010.
14. G. Tzimiropoulos, V. Argyriou, S. Zafeiriou, and T. Stathaki. Robust FFT-based scale-invariant image registration with image gradients. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(10): 1899-1906, 2010.
15. 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, 2009.
16. J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(2): 210-227, February 2009.
17. W. Yang, D. Yi, Z. Lei, J. Sang, and S. Li. 2D-3D face matching using cca. In Proc. Automatic Face Gesture Recognition, 2008, pages 1-6, Sept. 2008.
18. L. Yin and M. Yourst. 3D face recognition based on high-resolution 3D face modeling from frontal and profile views. In Proc. ACM SIGMM Workshop on Biometrics Methods and Applications, pages 1-8, New York, NY, Nov. 8 2003.
19. W. Zhao, R. Chellappa, P. Phillips, and A. Rosenfeld. Face recogni tion: A literature survey. ACM Computing Surveys, 35(4): 399-458, 2003.
20. W. Zhang, D. Huang, Y. Wang and L. Chen 3D-Aided Face Recognition across Pose Variations. Chinese Conference on Biometric Recognition, 2012.
21. D. Huang, M. Ardabilian, Y. Wang and L. Chen Oriented Gradient Maps based Automatic Asymmetric 3D-2D Face Recognition. International Conference on Biometrics, 2012.
22. N.S. Vu and A. Caplier Illumination-robust face recognition using retina modeling. International Conference on Image Processing, Cairo, 2009.
23. Di Huang, Mohsen Ardabilian, Yunhong Wang, and Liming Chen Asymmetric 3D/2D face recognition based on LBP faci al representation and canonical correlation analysis. International Conference on Image Processing, page 3325-3328, Cairo, 2009.
24. UH Computational Biomedicine Lab: UHDB11 face database http://cbl.uh.edu/URxD/datasets/(2009)