Accurate 3D face registration based on the symmetry plane analysis on nose regions

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Tang, X M ^a   Chen, J S ^a   Moon, Y S ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

3D FACE RECOGNITION; 3D FACES; AUTOMATIC REGISTRATION; CO-ORDINATE SYSTEM; CRITICAL STEPS; DATA SETS; FACE DATA; FACE REGISTRATION; FACIAL EXPRESSIONS; FACIAL REGIONS; GLOBAL INFORMATIONS; REFERENCE POINTS; REGISTRATION METHODS; SIX DEGREES OF FREEDOM; SYMMETRY PLANES;

DATA PROCESSING; SIGNAL PROCESSING; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 81255184243     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Comput. Surv., 35(4):399-458, 2003.
2. K. W. Bowyer, K. I. Chang, and P. Flynn. A survey of approaches and challenges in 3d and multi-modal 3d + 2d face recognition. Comput. Vis. Image Underst., 101(1):1-15, 2006.
3. G. Pan and Z. Wu. 3d face recognition from range data. International Journal of Image and Graphics, 5(3):1-21, 2005.
4. G. Pan, S. Han, Z. H. Wu, and Y. M. Wang. 3d face recognition using mapped depth images. In IEEE Workshop on Face Recognition Grand Challenge Experiments, June 2005.
5. L. Zhang, A. Razdan, G. Farin, M. S. Bae, and J. Femiani. 3d face authentication and recognition based in bilateral symmetry analysis. Journal of Visual Computer., 22(1):43-55, 2006.
6. D. Colbry and G. Stockman. Canonical face depth map: A robust 3d representation for face verification. In CVPR '07: Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'07), pages 1-7, Minneapolis, MN, USA, 2007.
7. Face Recognition Grand Challenge (FRGC), http://www.frvt.org/FRGC.
8. J. C. Hager, P. Ekman, andW. V. Friesen. Facial Action Coding System. UT: A Human Face, Salt Lake City, 2002.
9. K. I. Chang, K. W. Bowyer, and P. J. Flynn. Multiple nose region matching for 3d face recognition under varying facial expression. IEEE Trans. Pattern Anal. Mach. Intell., 28(10):1695-1700, 2006.
10. P. J. Besl and N. D. McKay. A method for registration of 3D shapes. IEEE Trans. Pattern Anal. Mach. Intell., 14(2):239-256, 1992.
11. C. Goodall. Procruses methods in the statistical analysis of shape. Journal of the Royal Statistical Society B, 53(2):285-339, 1991.