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.%人脸表情是人际交往的重要渠道,识别人脸表情可促进对人心理状态和情感的理解.不同于常规的人脸表情,微表情是一种特殊的面部微小动作,可以作为判断人主观情绪的重要依据,在公共安防和心理治疗领域有广泛的应用价值.由于微表情具有动作幅度小、持续时间短的特点,对微表情的人工识别需要专业的培训,且识别正确率较低.近年来不少研究人员开始利用计算机视觉技术自动识别微表情,极大地提高了微表情的应用可行性.本文综述人脸微表情识别的定义和研究现状,总结微表情识别中的一些关键技术,探讨潜在的问题和可能的研究方向.
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