Automatic Micro-Expression Analysis: Open Challenges.
作者信息
Zhao Guoying, Li Xiaobai
机构信息
School of Information and Technology, Northwest University, Xi'an, China.
Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland.
出版信息
Front Psychol. 2019 Aug 7;10:1833. doi: 10.3389/fpsyg.2019.01833. eCollection 2019.
Abstract
摘要
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2
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3
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