A Correlated Topic Modeling Approach for Facial Expression Recognition

被引：1
作者：
Sang, Ruoxin [1 ]
Chan, K. P. [1 ]
机构：
[1] Univ Hong Kong, Dept Comp Sci, Hong Kong, Hong Kong, Peoples R China
来源：
CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING | 2015年
关键词：
Facial Expression Recognition; Correlated Topic Models; CLASSIFICATION;
D O I：
10.1109/CIT/IUCC/DASC/PICOM.2015.149
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Topic Models has been applied to many Computer Vision problems, and in particular, facial expression recognition, with good results. However, the topic found by the topic models may be correlated, and hence the independent assumption may not hold. Correlated Topic Models (CTM) has be developed to tackle this problem. In this paper, we attempted to use Correlated Topic Models (CTM) for facial expression recognition, and preliminary results are reported.
引用
收藏
页码：990 / 994
页数：5
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