Biologically plausible computational models for facial expression recognition

Aruna Shenoy, N. Davey, R. Frank
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Abstract

This paper discusses various biologically plausible computational models that recognize human facial expression and analyze them. Identifying facial expressions is a non trivial task for a human and is a key part of social interactions. However, it is not as simple as that for a computational system. Here we analyze six different universally accepted facial expressions for analysis with the aid of six biologically plausible computational models.
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生物学上合理的面部表情识别计算模型
本文讨论了各种生物学上合理的计算模型来识别人类面部表情并对其进行分析。识别面部表情对人类来说是一项重要的任务,也是社会互动的关键部分。然而,对于一个计算系统来说,这并不那么简单。在这里,我们分析了六种不同的普遍接受的面部表情分析与六个生物学似是而非的计算模型的帮助。
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