Local Features based Facial Expression Recognition with Face Registration Errors

被引：0
|
作者：
Gritti, Tommaso [1 ]
Shan, Caifeng [1 ]
Jeanne, Vincent [1 ]
Braspenning, Ralph [1 ]
机构：
[1] Philips Res, NL-5656 AE Eindhoven, Netherlands
来源：
2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2 | 2008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：
In this paper, we extensively investigate local features based facial expression recognition with face registration errors, which has never been addressed before. Our contributions are threefold. Firstly, we propose and experimentally study the Histogram of Oriented Gradients (HOG) descriptors for facial representation. Secondly, we present facial representations based on Local Binary Patterns (LBP) and Local Ternary Patterns (LTP) extracted from overlapping local regions. Thirdly, we quantitatively study the impact of face registration errors on facial expression recognition using different facial representations. Overall LBP with overlapping gives the best performance (92.9% recognition rate on the Cohn-Kanade database), while maintaining a compact feature vector and best robustness against face registration errors.
引用
收藏
页码：608 / 615
页数：8
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