Institutional Repository, Institute of Psychology, Chinese Academy of Sciences
| TSW-FD: A novel temporal and spatial domain weight analysis of feature difference for micro-expression spotting | |
Zhang, Zhihao1,2; Mo, Fan1,2; Zhao, Ke1,2 ; Chen, Tong3,4; Fu, Xiaolan1,2
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| 2021 | |
| 会议名称 | 2020 International Symposium on Automation, Information and Computing |
| 会议录名称 | Journal of Physics:Conference Series |
| 会议日期 | 2020, December 2, 2020 - December 4, 2020 |
| 会议地点 | 不详 |
| 出版者 | IOP Publishing |
| 产权排序 | 1 |
| 摘要 | The micro-expression spotting has recently attracted increasing attention from psychology and computer vision community, since embraced in the second facial Micro-Expression Grand Challenge (MEGC 2019). Different from the original feature difference (FD) analysis, in this paper, we proposed a novel temporal and spatial domain weight analysis of feature difference (TSW-FD) to achieve micro-expression spotting. The experimental results showed that TSW-FD improved 17.86% and 24.21% in F1-Score comparing to the FD in CASME Ⅱ and SMIC-E-HS. |
| DOI | 10.1088/1742-6596/1828/1/012028 |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | IOP:JPCS_1828_1_012028 |
| 引用统计 | |
| 文献类型 | 会议论文 |
| 条目标识符 | https://ir.psych.ac.cn/handle/311026/38660 |
| 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, Beijing 2.Department of Psychology, University of Chinese Academy of Sciences, Beijing 3.Chongqing Key Laboratory of Non-linear Circuit and Intelligent Information Processing, Southwest University, Chongqing 4.Chongqing Key Laboratory of Artificial Intelligence and Service Robot Control Technology, Chongqing |
| 推荐引用方式 GB/T 7714 | Zhang, Zhihao,Mo, Fan,Zhao, Ke,et al. TSW-FD: A novel temporal and spatial domain weight analysis of feature difference for micro-expression spotting[C]:IOP Publishing,2021. |
| 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 | ||
| TSW-FD_ A novel temp（831KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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