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Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern
Yan, WJ (Yan, Wen-Jing)1,2; Wang, SJ (Wang, Su-Jing)1; Chen, YH (Chen, Yu-Hsin)1; Zhao, GY (Zhao, Guoying)3; Fu, XL (Fu, Xiaolan)1
First AuthorYan, WJ (Yan, Wen-Jing)
2015
Conference Name13th European Conference on Computer Vision (ECCV)
Correspondent Emailfuxl@psych.ac.cn
Source PublicationCOMPUTER VISION - ECCV 2014 WORKSHOPS, PT I
Volume8925
Issue不详
Pages296-305
Conference DateSEP 06-12, 2014
Conference PlaceZurich, SWITZERLAND
Abstract

Micro-expression may reveal genuine emotions that people try to conceal. However, it's difficult to measure it. We selected two feature extraction methods to analyze micro-expressions by assessing the dynamic information. The Constraint Local Model (CLM) algorithm is employed to detect faces and track feature points. Based on these points, the ROIs (Regions of Interest) on the face are drawn for further analysis. In addition, Local Binary Pattern (LBP) algorithm is employed to extract texture information from the ROIs and measure the differences between frames. The results from the proposed methods are compared with manual coding. These two proposed methods show good performance, with sensitivity and reliability. This is a pilot study on quantifying micro-expression movement for psychological research purpose. These methods would assist behavior researchers in measuring facial movements on various facets and at a deeper level.

KeywordQuantification Micro-expression Dynamic Information Constraint Local Model (Clm) Local Binary Pattern (Lbp)
DOI10.1007/978-3-319-16178-5_20
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26564
Collection脑与认知科学国家重点实验室
Affiliation1.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
2.Wenzhou Univ, Coll Teacher Educ, Wenzhou, Peoples R China
3.Univ Oulu, Ctr Machine Vis Res, Oulu, Finland
Recommended Citation
GB/T 7714
Yan, WJ ,Wang, SJ ,Chen, YH ,et al. Quantifying Micro-expressions with Constraint Local Model and Local Binary Pattern[C],2015:296-305.
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