模式识别(心理学)
面部表情
对偶(语法数字)
人工神经网络
卷积神经网络
面部识别系统
计算机视觉
面子(社会学概念)
特征提取
作者
Huai-Qian Khor,John See,Sze-Teng Liong,Raphael C.-W. Phan,Weiyao Lin
出处
期刊:International Conference on Image Processing
日期:2019-08-26
卷期号:: 36-40
被引量:16
标识
DOI:10.1109/icip.2019.8802965
摘要
Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes underlying emotions. Motivated by recent exploits into deep learning for micro-expression analysis, we propose a lightweight dual-stream shallow network in the form of a pair of truncated CNNs with heterogeneous input features. The merging of the convolutional features allows for discriminative learning of micro-expression classes stemming from both streams. Using activation heatmaps, we further demonstrate that salient facial areas are well emphasized, and correspond closely to relevant action units belonging to emotion classes. We empirically validate the proposed network on three benchmark databases, obtaining state-of-the-art performance on the CASME II and SAMM while remaining competitive on the SMIC. Further observations point towards the sufficiency of utilizing shallower deep networks for micro-expression recognition.
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