Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space | |
Su-Jing Wang1; Wen-Jing Yan1; Xiaobai Li2; Guoying Zhao2; Xiaolan Fu1 | |
2014 | |
通讯作者邮箱 | wangsujing@psych.ac.cn |
会议名称 | 22nd International Conference on Pattern Recognition (ICPR) |
会议录名称 | 2014 22ND INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) |
页码 | 678-4683 |
会议日期 | AUG 24-28, 2014 |
会议地点 | Swedish Soc Automated Image Anal, Stockholm, SWEDEN |
会议举办国 | SWEDEN |
摘要 | Micro-expression is a brief involuntary facial expression which reveals genuine emotions and helps detect lies. It intrigues psychologists and computer scientists' (especially on computer vision and pattern recognition) interests due to its promising applications in various fields. Recent research reveals that color may provide useful information for expression recognition. In this paper, we propose a novel color space model, Tensor Independent Color Space (TICS), for enhancing the performance of micro-expression recognition. An 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 in the independent color components can get higher accuracy than that in RGB. In addition, we define a set of Regions of Interest (ROIs) based on Facial Action Coding System (FACS) and calculated the dynamic texture histograms for each ROI. The experiments are conducted on two micro-expression databases, CASME and CASME 2, and the results show that the performance in TICS is better than that in RGB or gray. |
DOI | 10.1109/ICPR.2014.800 |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/26518 |
专题 | 脑与认知科学国家重点实验室 |
作者单位 | 1.State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences 2.Department of Computer Science and Engineering, University of Oulu |
推荐引用方式 GB/T 7714 | Su-Jing Wang,Wen-Jing Yan,Xiaobai Li,et al. Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space[C],2014:678-4683. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Microexpression Reco(2937KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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