首页 | 本学科首页   官方微博 | 高级检索  
     


Automatic facial expression analysis: a survey
Authors:B. FaselAuthor Vitae  Juergen LuettinAuthor Vitae
Affiliation:a IDIAP—Dalle Molle Institute for Perceptual Artificial Intelligence, Rue du Simplon 4, CH-1920 Martigny, Switzerland
b Ascom Systec AG, Applicable Research and Technology, Gewerbepark CH-5506, Maegenwil, Switzerland
Abstract:
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.
Keywords:Facial expression recognition   Facial expression interpretation   Emotion recognition   Affect recognition   FACS
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号