Pose normalization for robust face recognition based on statistical affine transformation

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Volumn 3, Issue , 2003, Pages 1413-1417

  Chai, Xiujuan ^a,b   Shan, Shiguang ^b   Gao, Wen ^a,b  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

Affine transformation; Face recognition; Pose alignment; Pose estimation; Pose invariant face recognition

Indexed keywords

ALGORITHMS; MULTIMEDIA SIGNAL PROCESSING; SIGNAL PROCESSING;

AFFINE TRANSFORMATIONS; MAPPING PARAMETERS; POSE ALIGNMENTS; POSE ESTIMATION; POSE INVARIANT; POSE NORMALIZATION; POSE-INVARIANT FACE RECOGNITION; SUB-SPACE ALGORITHMS;

FACE RECOGNITION;

EID: 69949177801     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2003.1292698     Document Type: Conference Paper

References (15)

1. R. Brunelli and T. Poggio. Face Recognition: Features versus Template. TP AMI, 15(10), pp.1042-1052,1993
2. R. Chellappa, C.L. Wilson et al. Human and Machine Recognition of Faces: A survey. Proc. of the IEEE, 83(5), pp. 705-740,1995
3. PJ. Phillips, H. Moon. The FERET Evaluation Methodology for Face-recognition Algorithms. IEEE TP AMI, 22(10) pp. 1090-1104, 2000
4. D.M. Blackburn, M. Bone, P.J. Phillips. Facial Recognition Vendor Test 2000: Evaluation Report. 2001, http://ww.frvt.org/frvt2000/
5. D. Beymer and T. Poggio. Face Recognition From One Example View. ICCV, Boston, MA, pp. 500-507, 1995
6. H. Murase and S.K. Nayar. Visual Learning and Recognition of 3-D Objects form Appearance. International Journal of Computer Vision, 14:5-24,1995
7. A. Pentland, B. Moghaddam and T. Starner. View-based and Modular Eigenspaces for Face Recognition. IEEE CVPR, pp. 84-91, 1994
8. D. Valentin and H. Abdi. Can a Linear Autoassociator Recognize Faces From New Orientations. Journal of the Optical Society of America A-Optics, Image Science and vision, 13(4), pp. 717-724,1996.
9. SmMcKenna. S. Gong and J.J. Collins. Face Tracking and Pose Representation. British Machine Vision Conference, Edinburgh, Scotland, 1996.
10. T. Cootes, G. Edwards, and C. Taylor. Active Apperance Models. ECCV
11. D. Beymer. Face Recognition Under Varying Pose. AI Memo 1461
12. D. Beymer and T. Poggio. Face Recognition From One Model View. Proc. Fifth Int'l Conf. Computer Vision, 1995
13. T. Vetter and T. Poggio. Linear Object Classes and Image Synthesis From a Single Example Image. IEEE Trans. PAMI
14. B. Cao, S. Shan,W. Gao. Localizing the iris center by region growing search. Proceeding of the ICME2002
15. V. Blanz, T. Vetter. A Morphable Model for the Synthesis of 3D Faces. SIGGRAPH'99 Conf. Proc., Los Angeles, USA, 1999.