2D EXPRESSION-INVARIANT FACE RECOGNITION WITH CONSTRAINED OPTICAL FLOW

被引：0
|
作者：
Hsieh, Chao-Kuei [1 ]
Lai, Shang-Hong [2 ]
Chen, Yung-Chang [1 ]
机构：
[1] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu, Taiwan
[2] Natl Tsing Hua Univ, Dept Comp Sci, Hsinchu, Taiwan
来源：
ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3 | 2009年
关键词：
Face recognition; expression recognition; constrained optical flow; expression normalization;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Face recognition is one of the most intensively studied topics in computer vision and pattern recognition. A constrained optical flow algorithm, which combines the advantages of the unambiguous correspondence of feature point labeling and the flexible representation of optical flow computation, has been developed for face recognition from expressional face images. In this paper, we propose an integrated face recognition system that is robust against facial expressions by combining information from the computed intra-person optical flow and the synthesized face image in a probabilistic framework. Our experimental results show that the proposed system improves the accuracy of face recognition from expressional face images.
引用
收藏
页码：1058 / +
页数：2
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