摘要
根据心理学家对表情的研究和前人的工作成果 ,在对动态表情图像序列的时序分析的基础上 ,提出了对混合表情的识别系统 .把脸部分成各个表情特征区域 ,分别提取其运动特征 ,按时序组成特征序列 ,通过分析不同特征区域所包含的不同表情信息的含义和表情的含量 ,识别任意时序长度的。
The human beings have not only rational thinking and logic reasoning ability, but also perceptual thinking and emotions. In the aim of the natural and intelligent human machine communication, it is essential to make it possible that the computer can understand and express the emotions. This paper summarizes the study in the psychology field and the former work and proposes the combined expression recognition system based on the analysis of the dynamic expression image sequences. The face is taken as being composed of several primary expression regions, in which the motion features can be extracted and constituted to eigen sequences. The analysis of the arbitrary length of image sequences of facial expressions and combined expression recognition are proposed and implemented by analyzing the respective expression meaning and the expression contents of different primary regions and using the multi feature fusion.
出处
《计算机学报》
EI
CSCD
北大核心
2000年第6期602-608,共7页
Chinese Journal of Computers
基金
国家自然科学基金!( 697893 0 1)
国家"八六三"高技术研究发展计划!( 863 -3 0 6-ZT0 3 -0 1-2 )
中国科学院"百人计划"的资助
关键词
混合表情
图像序列
人脸面部
计算机识别系统
combined expressions, eigen sequences, primary expression regions, eigen flow