自动化学报2017，Vol.43Issue(3)：333-348,16.DOI:10.16383/j.aas.2017.c160398
人脸微表情识别综述
Facial Microexpression Recognition: A Survey
摘要
Abstract
Facial expression is an important channel in social interaction. Reading facial expression can improve un-derstanding of psychological condition and emotional status. Different from normal expressions, microexpression is a special kind of subtle facial action. It serves as a vital clue for affective estimation, and has broad applications in public security and psychological treatment. Recognizing microexpression requires professional training for human due to its short duration and subtle movement. So far a low recognition accuracy has been reported in the literature. In recent years, researchers have been studying microexpression recognition based on computer vision, which can largely improve the feasibility of such recognition. In this article, we introduce problem definition and current research status of microex-pression, survey several representative techniques in this topic, and discuss some underlying issues and potential research directions.关键词
微表情识别/表情识别/情绪识别/计算机视觉/面部动作编码系统Key words
Microexpression recognition/expression recognition/emotion recognition/computer vision/facial action code system (FACS)引用本文复制引用
徐峰,张军平..人脸微表情识别综述[J].自动化学报,2017,43(3):333-348,16.基金项目
国家自然科学基金(61673118,61273299),浦江人才计划(16PJD009)资助Supported by National Natural Science Foundation of China(61673118,61273299)and Shanghai Pujiang Program(16PJD009) （61673118,61273299）
