Facial Micro-Expression Recognition using Spatiotemporal Local Binary Pattern with Integral Projection | |
Huang, XH (Huang, Xiaohua)1; Wang, SJ (Wang, Su-Jing)2; Zhao, GY (Zhao, Guoying)1; Pietikainen, M (Pietikainen, Matti)1 | |
2015 | |
通讯作者邮箱 | xiaohua.huang@ee.oulu.fi |
会议名称 | IEEE International Conference on Computer Vision (ICCV) |
会议录名称 | IEEE International Conference on Computer Vision (ICCV) |
会议日期 | DEC 11-18, 2015 |
会议地点 | Santiago, CHILE |
摘要 | Recently, there are increasing interests in inferring mirco-expression from facial image sequences. For micro-expression recognition, feature extraction is an important critical issue. In this paper, we proposes a novel framework based on a new spatiotemporal facial representation to analyze micro-expressions with subtle facial movement. Firstly, an integral projection method based on difference images is utilized for obtaining horizontal and vertical projection, which can preserve the shape attributes of facial images and increase the discrimination for micro-expressions. Furthermore, we employ the local binary pattern operators to extract the appearance and motion features on horizontal and vertical projections. Intensive experiments are conducted on three available published micro-expression databases for evaluating the performance of the method. Experimental results demonstrate that the new spatiotemporal descriptor can achieve promising performance in micro-expression recognition. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.psych.ac.cn/handle/311026/25662 |
专题 | 认知与发展心理学研究室 |
通讯作者 | Huang, XH (Huang, Xiaohua) |
作者单位 | 1.Univ Oulu, Dept Comp Sci & Engn, Ctr Machine Vis Res, SF-90100 Oulu, Finland 2.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, XH ,Wang, SJ ,Zhao, GY ,et al. Facial Micro-Expression Recognition using Spatiotemporal Local Binary Pattern with Integral Projection[C],2015. |
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 | ||
Facial MicroExpressi(720KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论