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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
第一作者Yan, WJ (Yan, Wen-Jing)
2015
会议名称13th European Conference on Computer Vision (ECCV)
通讯作者邮箱fuxl@psych.ac.cn
会议录名称COMPUTER VISION - ECCV 2014 WORKSHOPS, PT I
卷号8925
期号不详
页码296-305
会议日期SEP 06-12, 2014
会议地点Zurich, SWITZERLAND
摘要

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.

关键词Quantification Micro-expression Dynamic Information Constraint Local Model (Clm) Local Binary Pattern (Lbp)
DOI10.1007/978-3-319-16178-5_20
语种英语
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.psych.ac.cn/handle/311026/26564
专题脑与认知科学国家重点实验室
作者单位1.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
推荐引用方式
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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