摘要
近年来,面部表情识别在教育、医学、心理分析以及商业领域得到了广泛关注。针对目前表情识别方法不够系统、概念模糊的问题,对面部表情识别的步骤及其方法进行了综述探讨。首先,介绍了目前常用的人脸表情数据集,并回顾了面部表情识别的发展历程;然后,介绍了人脸表情识别的面部表情编码和面部表情识别过程这两个方面,归纳了人脸面部表情识别的四个过程,重点总结了特征提取和表情分类两个过程中的经典算法以及这些算法的基本原理和优劣比较;最后,指出了目前面部表情识别存在的问题和未来可能的发展趋势。
In recent years, facial expression recognition has received extensive attention in education, medicine, psychoanalysis and business. Aiming at the problems of not systematic enough and fuzzy concept of facial expression recognition method, the steps and methods of facial expression recognition were reviewed and discussed. Firstly, the commonly used facial expression databases were introduced and the development of facial expression recognition was reviewed. Then, two aspects of facial expression recognition were introduced, such as facial expression ceding and facial expression recognition. The four processes of face facial expression recognition were summarized. The classical algorithms, the basic principles of these algorithms and the comparisons of their advantages and disadvantages were summarized emphatically in the two processes of feature extraction and facial expression classification. Finally, the existing problems and possible development trends in the future of the current facial expression recognition were pointed out.
出处
《计算机应用》
CSCD
北大核心
2017年第12期3509-3516,3546,共9页
journal of Computer Applications
基金
国家自然科学基金资助项目(61702293
41506198)
虚拟现实应用教育部工程研究中心开放基金课题(MEOBNUEVRA201601)~~
关键词
表情识别
表情数据集
表情编码
特征提取
表情分类
expression recognition
expression database
expression coding
feature extraction
expression classification
