New experiments on ICP-based 3D face recognition and authentication

Proceedings - International Conference on Pattern Recognition

Volumn 3, Issue , 2006, Pages 1195-1199

  Amor, Boulbaba Ben ^a   Ardabilian, Mohsen ^a   Chen, Liming ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ITERATIVE METHODS; LIGHTING; MATHEMATICAL MODELS; ONLINE SYSTEMS; PATTERN MATCHING;

ITERATIVE CLOSEST POINT (ICP); MATCHING ALGORITHM;

FACE RECOGNITION;

EID: 34147172199     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.855     Document Type: Conference Paper

References (14)

1. http://lsc.univ-evry.fr/techno/iv2/.
2. B. BenAmor, K. Ouji, M. Ardabilian, and L. Ohen. 3d face recognition by icp-based shape matching. In Proceeding of IEEE International Conference on Machine Intelligence, Tozeur, Tunisie, November 2005.
3. P. J. Besl and N. D. McKay. A method for registration of 3-d shapes. IEEE Trans. Pattern Anal. Mach. Intell., 14(2): 239-256, 1992.
4. C. Beumier and M. Acheroy. Automatic 3D face authentica-tion. Image and Vision Computing, 18(4):315- 321, 2000.
5. A. M. Bronstein, M. M. Bronstein, and R. Kimmel. Three-dimensional face recognition. International Journal of Computer Vision (IJCV), 64(1):5-30, August 2005.
6. K. I. Chang, K. W. Bowyer, and P. J. Flynn. An evaluation of multi-modal 2D+3D face biometrics. IEEE Transactions on PAMI, 27(4):619-624, 2005.
7. K. J. Chang, K. W. Bowyer, and P. J. Flynn. Effects on facial expression in 3D face recognition. In Proceedings of the SPIK, Volume 5779, pp. 132-143 (2005)., pages 132-143, Mar. 2005.
8. T. Heseltine, N. Pears, and J. Austin. Three-dimensional face recognition: An eigensurface approach. In Proc. IEEE International Conference on Image Processing, pages 1421-1424, Singapore, 2004. poster.
9. M. W. Lee and S. Ranganath. Pose-invariant face recognition using a 3D deformable model. Pattern Recognition, 36(8): 1835-1846, 2003.
10. J X. Lu and A. K. Jain. Integrating range and texture information for 3d face recognition. In Proc. 7th IEEE Workshop on Applications of Computer Vision, pages 156-163, 2005.
11. S. Malassiotis and M. G. Strintzis. Pose and illumination compensation for 3D face recognition. In Proc. IEEE International Conference on Image Processing, pages 91-94, Singapore, 2004. oral.
12. G. Pan, Z. Wu, and Y. Pan. Automatic 3D face verification from range data. In Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 3, pages 193-196, Hong Kong, 2003.
13. P. Phillips, P. Grother, R. Micheals. D. Blackburn, E. Tabassi, and J. Bone. Frvt 2002: Evaluation report. Technical report, NIST, March 2003.
14. C. Xu, Y. Wang, T. Tan, and L. Quan. Depth vs. intensity: Which is more important for face recognition? In Proc. 17th International Conference on Pattern Recognition, Cambridge, UK, 2004. poster.