AAM derived face representations for robust facial action recognition

被引：0
|
作者：
Lucey, Simon [1 ]
Matthews, Iain [1 ]
Hu, Changbo [1 ]
Ambadar, Zara [1 ]
de la Torre, Fernando [1 ]
Cohn, Jeffrey [1 ]
机构：
[1] Carnegie Mellon Univ, Inst Robot, Pittsburgh, PA 15213 USA
来源：
PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION - PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE | 2006年
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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：
In this paper, we present results on experiments employing Active Appearance Model (AAM) derived facial representations, for the task of facial action recognition. Experimental results demonstrate the benefit of AAM-derived representations on a spontaneous AU database containing "real-world" variation. Additionally, we explore a number of normalization methods for these representations which increase facial action recognition performance.
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页码：155 / +
页数：2
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