A key frame selection-based facial expression recognition system

被引：0
|
作者：
Guo, S. M. [1 ]
Pan, Y. A. [1 ]
Liao, Y. C. [1 ]
Hsu, C. Y. [1 ]
Tsai, J. S. H. [2 ]
Chang, C. I. [3 ]
机构：
[1] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 701, Taiwan
[2] Natl Cheng Kung Univ, Dept Elect Engn, Tainan 701, Taiwan
[3] Univ Maryland Baltimore Cty, Dept Comp Sci, Remote Sensing Signal & Image Proc Lab, Baltimore, MD 21228 USA
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 3, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Automatic recognition of facial expressions has received considerable interest in the computer vision. This paper presents a key frame selection-based system for recognition of four basic facial expressions: happiness, anger sadness and surprise, in image sequences. The proposed new approach is designed for recognition of facial expressions via a key frame selection of the facial motion from an image sequence where an optical flow is used to determine changes in a facial expression. experimental results demonstrate that the proposed automatic recognition process significantly improves the computational complexity encountered in facial expression recognition while enhancing the ability of recognition.
引用
收藏
页码：341 / +
页数：2
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