Video-to-video face authentication system robust to pose variations-Reference-Cited by-同舟云学术

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Video-to-video face authentication system robust to pose variations

Published:2013-02 Issue:2 Volume:40 Page:722-735
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Chao,Li Yongping,Song Xubo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference25 articles.

1. Cao, Z., Yin, Q., Tang, X., & Sun, J. (2010). Face recognition with learning-based descriptor. In IEEE conference on computer vision and pattern recognition (CVPR) (pp. 2707–2714).

2. Chen, S., Mau, S., Harandi, M. T., Sanderson, C., Bigdeli, A., & Lovell, B. C. (2011). Face recognition from still images to video sequences: A local-feature-based framework. In EURASIP journal on image and video processing, (pp. 1–14).

3. An introduction to active shape models;Cootes,2000

4. Garcia-Mateos, G., & Ruiz, A. (2008). Estimating 3D facial pose in video with just three points. In Proc. IEEE computer society conference on computer vision and pattern recognition works (CVPRW) (pp. 1–8).

5. Guo, H., Robson Schwartz, W., & Davis, L. S. (2011). Face verification using large feature sets and one shot similarity. In Proc. international joint conference on biometrics (IJCB) (pp. 1–8).

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