Micro-expressions: a survey

被引：2

作者：

Jain A. ^{[1
]}

Bhakta D. ^{[1
]}

机构：

[1] Department of Computer Science and Engineering, Indian Institute of Information Technology Ranchi, Jharkhand, Ranchi

来源：

Multimedia Tools and Applications | 2024年 / 83卷 / 18期

关键词：

Classification; Database; Machine learning; Micro-expression; Recognition; Spotting;

D O I：

10.1007/s11042-023-17313-6

中图分类号：

学科分类号：

摘要：

This paper surveys some of the most important recent works related to micro-expression analysis. It includes discussions on algorithms for spotting and recognizing micro-expressions, their performances, databases, and new feature descriptor frameworks. Here, we use a reverse chronological order to discuss the state-of-the-art in a work-specific fashion. We provide a questionnaire-based comparative study of the literature and discuss future directions of micro-expression analysis. We expect this survey to expose micro-expressions to those interested in pursuing research in this emerging field. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.

引用

页码：53165 / 53200

页数：35

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