PSYCH OpenIR  > 脑与认知科学国家重点实验室
Micro-Expression Recognition Using Color Spaces
Wang, Su-Jing1,2; Yan, Wen-Jing3; Li, Xiaobai4; Zhao, Guoying4; Zhou, Chun-Guang2,5; Fu, Xiaolan6; Yang, Minghao7; Tao, Jianhua7
AbstractMicro-expressions are brief involuntary facial expressions that reveal genuine emotions and, thus, help detect lies. Because of their many promising applications, they have attracted the attention of researchers from various fields. Recent research reveals that two perceptual color spaces (CIELab and CIELuv) provide useful information for expression recognition. This paper is an extended version of our International Conference on Pattern Recognition paper, in which we propose a novel color space model, tensor independent color space (TICS), to help recognize micro-expressions. In this paper, we further show that CIELab and CIELuv are also helpful in recognizing micro-expressions, and we indicate why these three color spaces achieve better performance. A micro-expression color video clip is treated as a fourth-order tensor, i.e., a four-dimension array. The first two dimensions are the spatial information, the third is the temporal information, and the fourth is the color information. We transform the fourth dimension from RGB into TICS, in which the color components are as independent as possible. The combination of dynamic texture and independent color components achieves a higher accuracy than does that of RGB. In addition, we define a set of regions of interests (ROIs) based on the facial action coding system and calculated the dynamic texture histograms for each ROI. Experiments are conducted on two micro-expression databases, CASME and CASME 2, and the results show that the performances for TICS, CIELab, and CIELuv are better than those for RGB or gray.
KeywordMicro-expression recognition color spaces tensor analysis local binary patterns facial action coding system
Indexed BySCI
WOS IDWOS:000364992700004
Citation statistics
Cited Times:59[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Jilin Univ, Key Lab Symbol Computat & Knowledge Engn, Minist Educ, Changchun 130012, Peoples R China
3.Wenzhou Univ, Coll Teacher Educ, Wenzhou 325035, Peoples R China
4.Univ Oulu, Dept Comp Sci & Engn, FI-90014 Oulu, Finland
5.Jilin Univ, Coll Comp Sci & Technol, Changchun 130012, Peoples R China
6.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
7.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationKey Laboratory of Behavioral Science, CAS
Recommended Citation
GB/T 7714
Wang, Su-Jing,Yan, Wen-Jing,Li, Xiaobai,et al. Micro-Expression Recognition Using Color Spaces[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2015,24(12):6034-6047.
APA Wang, Su-Jing.,Yan, Wen-Jing.,Li, Xiaobai.,Zhao, Guoying.,Zhou, Chun-Guang.,...&Tao, Jianhua.(2015).Micro-Expression Recognition Using Color Spaces.IEEE TRANSACTIONS ON IMAGE PROCESSING,24(12),6034-6047.
MLA Wang, Su-Jing,et al."Micro-Expression Recognition Using Color Spaces".IEEE TRANSACTIONS ON IMAGE PROCESSING 24.12(2015):6034-6047.
Files in This Item:
File Name/Size DocType Version Access License
WOS_000364992700004.(20175KB)期刊论文出版稿暂不开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang, Su-Jing]'s Articles
[Yan, Wen-Jing]'s Articles
[Li, Xiaobai]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang, Su-Jing]'s Articles
[Yan, Wen-Jing]'s Articles
[Li, Xiaobai]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang, Su-Jing]'s Articles
[Yan, Wen-Jing]'s Articles
[Li, Xiaobai]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.