Automatic facial expression analysis: a survey

被引:1057
作者
Fasel, B
Luettin, J
机构
[1] Dalle Molle Inst Perceptual Artificial Intelligen, IDIAP, CH-1920 Martigny, Switzerland
[2] Ascom Systec AG, Applicable Res & Technol, CH-5506 Magenwil, Switzerland
关键词
facial expression recognition; facial expression interpretation; emotion recognition; affect recognition; FACS;
D O I
10.1016/S0031-3203(02)00052-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Over the last decade, automatic facial expression analysis has become an active research area that finds potential applications in areas such as more engaging human-computer interfaces, talking heads, image retrieval and human emotion analysis. Facial expressions reflect not only emotions, but other mental activities, social interaction and physiological signals. In this survey, we introduce the most prominent automatic facial expression analysis methods and systems presented in the literature. Facial motion and deformation extraction approaches as well as classification methods are discussed with respect to issues such as face normalization, facial expression dynamics and facial expression intensity, but also with regard to their robustness towards environmental changes. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:259 / 275
页数:17
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