Micro-Expression Recognition Based on Local Two-Order Gradient Pattern

doi:10.1109/ACIIAsia.2018.8470392

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	Micro-Expression Recognition Based on Local Two-Order Gradient Pattern
	Niu, Mingyue 1; Li, Ya 1; Tao, Jianhua 2; Wang, Su-Jing3
	2018-09-21
会议日期	May 20, 2018 - May 22, 2018
会议地点	Beijing
DOI	10.1109/ACIIAsia.2018.8470392
国家	China
英文摘要	Recently, micro-expression recognition has obtained more and more attention due to its spontaneity. Moreover, how to extract feature from these subtle image sequences is still a hard issue. Currently, a lot of local patterns have been applied to describe these micro-changes, but in essence they are seldom specialized to capture fine structure changes in video clips and often need tens of frames to generate a descriptor through interpolation between frames. To make up for these deficiencies, this paper proposes a novel local pattern i.e. Local Two-Order Gradient Pattern (LTOGP) to describe the subtle changes in micro-expression sequences. Using this pattern, we can not only capture subtle changes in videos, but also only make use of 5 frames to generate a descriptor of a micro-expression clip rather than tens or hundreds of frames in related literatures. Experiments are conducted on two databases of CASME and CASME2 and the results show that our proposed method gains promising performance for micro-expression recognition with proposed method. © 2018 IEEE.
产权排序	3
会议录	2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018
会议录出版者	Institute of Electrical and Electronics Engineers Inc.
学科主题	Intelligent Computing
语种	英语
内容类型	会议论文
源URL	[http://ir.psych.ac.cn/handle/311026/27758]
专题	心理研究所_中国科学院行为科学重点实验室
作者单位	1.National Laboratory of Pattern Recognition, Institute of Automation, CAS, School of Artificial Intelligence University of Chinese Academy of Sciences, Beijing, China; 2.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, CAS, Beijing, China; 3.Key Laboratory of Behavior Science, Institute of Psychology, CAS, Beijing, China
推荐引用方式 GB/T 7714	Niu, Mingyue,Li, Ya,Tao, Jianhua,et al. Micro-Expression Recognition Based on Local Two-Order Gradient Pattern[C]. 见:. Beijing. May 20, 2018 - May 22, 2018.