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Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition
Chen, Ying1,2; Zhang, Zhihao1,2; Zhong, Lei1,2; Chen, Tong1,2,3; Chen, Juxiang1,2; Yu, Yeda1,2
First AuthorChen, Ying
2019-04-01
Source PublicationELECTRONICS
Correspondent Emailc_tong@swu.edu.cn
ISSN2079-9292
Subtypearticle
Volume8Issue:4Pages:15
Contribution Rank3
Abstract

Near-infrared (NIR) facial expression recognition is resistant to illumination change. In this paper, we propose a three-stream three-dimensional convolution neural network with a squeeze-and-excitation (SE) block for NIR facial expression recognition. We fed each stream with different local regions, namely the eyes, nose, and mouth. By using an SE block, the network automatically allocated weights to different local features to further improve recognition accuracy. The experimental results on the Oulu-CASIA NIR facial expression database showed that the proposed method has a higher recognition rate than some state-of-the-art algorithms.

KeywordNIR facial expression recognition SE block 3D CNN adaptive feature weights calibration
DOI10.3390/electronics8040385
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China ; Southwest University Undergraduate Science and Technology Innovation Fund
Funding ProjectNational Natural Science Foundation of China[61301297] ; National Natural Science Foundation of China[61502398] ; Southwest University Undergraduate Science and Technology Innovation Fund[20600901]
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000467751100016
PublisherMDPI
WOS KeywordSYSTEM ; MODEL ; 3D
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/29272
Collection认知与发展心理学研究室
Corresponding AuthorChen, Tong
Affiliation1.Southwest Univ, Chongqing Key Lab Nonlinear Circuit & Intelligent, Chongqing 400715, Peoples R China
2.Chinese Acad Sci, Chongqing Key Lab Artificial Intelligence & Serv, Chongqing Inst Green & Intelligent Technol, Chongqing 400715, Peoples R China
3.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Chen, Ying,Zhang, Zhihao,Zhong, Lei,et al. Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition[J]. ELECTRONICS,2019,8(4):15.
APA Chen, Ying,Zhang, Zhihao,Zhong, Lei,Chen, Tong,Chen, Juxiang,&Yu, Yeda.(2019).Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition.ELECTRONICS,8(4),15.
MLA Chen, Ying,et al."Three-Stream Convolutional Neural Network with Squeeze-and-Excitation Block for Near-Infrared Facial Expression Recognition".ELECTRONICS 8.4(2019):15.
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