人脸表情识别研究的新进展  

New Advances on Facial Expression Recognition

作　　者：施徐敢 赵小明[1,2] 张石清[2] 

机构地区：[1]浙江理工大学机械自动控制学院,浙江杭州310018 [2]台州学院图像处理与模式识别研究所,浙江台州318000

出　　处：《实验室研究与探索》2014年第10期103-107,287,共6页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(61272261;61203257)资助

摘　　要：人脸表情识别是当前计算机视觉、模式识别、人工智能等领域的热点研究课题。它是智能人机交互技术中的一个重要组成部分,近年来得到广泛的关注,不同领域的研究者提出了许多新方法。本文综述了国内外近年来人脸表情识别技术的最新发展状况,对人脸表情识别系统所涉及到的关键技术:人脸表情特征提取和人脸表情分类,分别做了详细分析和归纳。最后,总结了人脸表情识别的研究现状,并指出了其未来的发展方向。Facial expression recognition （FER） is currently an active research topic in the fields of computer vision,pattern recognition,artificial intelligence,etc.FER is an important part of the intelligent technology for human machine interaction,and recently it have drawn much attention,and numerous new methods have been proposed by the researchers in different fields.In this paper,we present the latest development of this area,and give a detailed analysis and summary for facial expression feature extraction and facial expression classification,which are the key technology in an FER system.At last,we summarize the current situation of FER and present the future development direction of FER.

关 键 词：计算机视觉 人工智能 人脸表情 表情特征提取 表情分类 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]