A multi-view nonlinear active shape model based on 3D transformation shape search

5th International Conference on Information Assurance and Security, IAS 2009

Volumn 2, Issue , 2009, Pages 15-18

  Faling, Yi ^a   Wei, Xiong ^a   Zhanpeng, Huang ^a   Jie, Zhao ^a  

^a GUANGDONG PHARMACEUTICAL UNIVERSITY   (China)

Author keywords

ASM; Face feature point; Nonlinear transformation; Shape search

Indexed keywords

3D MODELS; 3D TRANSFORMATIONS; ACTIVE SHAPE MODEL; ACTIVE SHAPE MODELS; EFFICIENT METHOD; FACE FEATURE POINT; FACE IMAGES; FACE POSE; INITIAL SHAPE; MULTI-VIEWS; NON-LINEAR TRANSFORMATIONS; OBJECT SHAPE; POSE PARAMETERS; SEARCH METHOD; SHAPE VARIATIONS; TEST DATA; TRAINING SETS; TWO-DIMENSION;

FACE RECOGNITION; INTERACTIVE COMPUTER SYSTEMS; NETWORK SECURITY;

THREE DIMENSIONAL;

EID: 74049144884     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAS.2009.228     Document Type: Conference Paper

References (7)

1. T.F. Cootes, C.J. Taylor. Using Grey-Level Models to improve active shape model search. Proceedings of the 12th IAPR International Conference, Oct.1994, pp. 63-67
2. Yuanzhong Li, Wataru Ito. Shape Parameter Optimization for AdaBoosted Active Shape Model. Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) 2005, pp251-258.
3. Li Zhang, Haizhou Ai. Multi-View Active Shape Model with Robust Parameter Estimation. Pattern Recognition, 2006. ICPR 2006. 18th International Conference, 2006, pp. 469 - 468
4. Kanaujia, A., Metaxas, D.N. Large Scale Learning of Active Shape Models. ICIP 2007. IEEE International Conference, Oct 2007, pp. 265 - 268
5. CANDIDE - a parameterized face http://www.icg.isy.liu.se/candide/
6. ZhongLong Zheng, Fan Yang. Enhanced active shape model for facial feature localization. Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming. July 2008, pp. 2841-2845.
7. Chai XiuJuan, Shan ShiGuang, Gao Wen, etc. Example-based learning for automatic face alignment. Journal of Software. 2005, 16(5), pp. 718-726