A Comparison of Methods of Facial Expression Recognition

被引：0
作者：
Chen, Yingjie [1 ]
Wu, Han [1 ]
Wang, Tao [1 ]
Wang, Yizhou [1 ]
机构：
[1] Peking Univ, Sch EECS, Beijing, Peoples R China
来源：
2018 WRC SYMPOSIUM ON ADVANCED ROBOTICS AND AUTOMATION (WRC SARA) | 2018年
关键词：
ACTION UNITS; FACE; CLASSIFICATION; FUSION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Emotional recognition based on facial expressions is a very active research topic in the field of human-computer interaction. There has been a great body of work with in-depth of study in this area. In this paper, we analyze and compare the state-of-the-art facial expression recognition methods, propose some evaluation dimensions and discuss possible directions for future research.
引用
收藏
页码：261 / 268
页数：8
相关论文
共 85 条
[1]  
[Anonymous], BOOSTING CODED DYNAM
[2]  
[Anonymous], HDB REASONING BASED
[3]  
[Anonymous], 2008, 8 INT C AUT FAC GEST
[4]  
[Anonymous], CVPR 2008 WORKSH 3D
[5]  
[Anonymous], 2008, IEEE INT C AUT FAC G
[6]  
[Anonymous], TEXTURE SHAPE INFORM
[7]  
[Anonymous], 1972, Emotion in the human face
[8]  
Ballano Sergio, 2011, ACT 12 C INT INT, P357
[9]  
Bartlett M. S., 2006, Journal of Multimedia, V1, DOI 10.4304/jmm.1.6.22-35
[10]   Recognition of facial expressions using Gabor wavelets and learning vector quantization [J].
Bashyal, Shishir ;
Venayagamoorthy, Ganesh K. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2008, 21 (07) :1056-1064
123456789