Coding facial expressions with Gabor wavelets

被引：1402
|
作者：
Lyons, M [1 ]
Akamatsu, S [1 ]
Kamachi, M [1 ]
Gyoba, J [1 ]
机构：
[1] ATR, Human Informat Proc Res Lab, Kyoto 61902, Japan
来源：
AUTOMATIC FACE AND GESTURE RECOGNITION - THIRD IEEE INTERNATIONAL CONFERENCE PROCEEDINGS | 1998年
关键词：
D O I：
10.1109/AFGR.1998.670949
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for extracting information about facial expressions from images is presented Facial expression images are coded using a multi-orientation, multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face. The similarity space derived from this representation is compared with one derived from semantic ratings of the images by human observers. The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage. The Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.
引用
收藏
页码：200 / 205
页数：2
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