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Micro-Expression Recognition Based on Local Two-Order Gradient Pattern
Niu, Mingyue1; Li, Ya1; Tao, Jianhua2; Wang, Su-Jing3
First AuthorNiu, Mingyue
2018-09-21
Conference Name1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018
Source Publication2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018
Conference DateMay 20, 2018 - May 22, 2018
Conference PlaceBeijing
CountryChina
PublisherInstitute of Electrical and Electronics Engineers Inc.
Contribution Rank3
AbstractRecently, micro-expression recognition has obtained more and more attention due to its spontaneity. Moreover, how to extract feature from these subtle image sequences is still a hard issue. Currently, a lot of local patterns have been applied to describe these micro-changes, but in essence they are seldom specialized to capture fine structure changes in video clips and often need tens of frames to generate a descriptor through interpolation between frames. To make up for these deficiencies, this paper proposes a novel local pattern i.e. Local Two-Order Gradient Pattern (LTOGP) to describe the subtle changes in micro-expression sequences. Using this pattern, we can not only capture subtle changes in videos, but also only make use of 5 frames to generate a descriptor of a micro-expression clip rather than tens or hundreds of frames in related literatures. Experiments are conducted on two databases of CASME and CASME2 and the results show that our proposed method gains promising performance for micro-expression recognition with proposed method. © 2018 IEEE.
Subject AreaIntelligent Computing
DOI10.1109/ACIIAsia.2018.8470392
Indexed ByEI
Language英语
EI KeywordsComputer programming - Computer science
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/27758
Collection中国科学院行为科学重点实验室
Affiliation1.National Laboratory of Pattern Recognition, Institute of Automation, CAS, School of Artificial Intelligence University of Chinese Academy of Sciences, Beijing, China;
2.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, CAS, Beijing, China;
3.Key Laboratory of Behavior Science, Institute of Psychology, CAS, Beijing, China
Recommended Citation
GB/T 7714
Niu, Mingyue,Li, Ya,Tao, Jianhua,et al. Micro-Expression Recognition Based on Local Two-Order Gradient Pattern[C]:Institute of Electrical and Electronics Engineers Inc.,2018.
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