28 March 2005 Effects on facial expression in 3D face recognition
Author Affiliations +
Abstract
This is the first study to compare the PCA and ICP approaches to 3D face recognition, and to propose a local region approach coping with expression variation in 3D face recognition. A new algorithm for 3D face recognition is proposed for handling expression variation. It uses a surface registration-based technique for 3D face recognition. The proposed method uses a fully automatic approach to use to initialize the 3D matching. Results are presented for gallery and probe datasets of 355 subjects imaged in 3D, with significant time lapse between gallery and probe images of a given subject yielding 3,205 3D models. We find that an ICP-based method performs better than a PCA-based method. The evaluation results show that our proposed new algorithm substantially improves performance in the case of varying facial expression. We also examined subject factors in the proposed method on 3D face models by age and gender.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyong Jin Chang, Kyong Jin Chang, Kevin W. Bowyer, Kevin W. Bowyer, Patrick J. Flynn, Patrick J. Flynn, } "Effects on facial expression in 3D face recognition", Proc. SPIE 5779, Biometric Technology for Human Identification II, (28 March 2005); doi: 10.1117/12.604171; https://doi.org/10.1117/12.604171
PROCEEDINGS
12 PAGES


SHARE
RELATED CONTENT

3D face recognition via conformal representation
Proceedings of SPIE (March 05 2014)
Alternative face models for 3D face registration
Proceedings of SPIE (January 28 2007)
Face recognition in complex backgrounds
Proceedings of SPIE (September 14 2004)
A new approach to nonfrontal face recognition
Proceedings of SPIE (August 24 2004)

Back to Top