基于隐马尔可夫模型的面部情感识别

2013 International Conference on Electrical Engineering and Software Applications Pub Date : 2013-03-21 DOI:10.1109/ICEESA.2013.6578438

Mouheb Lahbiri, Ahmed Fnaiech, M. Bouchouicha, M. Sayadi, P. Gorce

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引用次数: 11

摘要

本文提出了一种简单的面部表情自动识别算法。首先提取特征点，然后利用这些特征定义距离。这些距离的变化被用来描述从一种情绪到另一种情绪的转变。我们的方法是基于隐马尔可夫模型的使用，该模型的状态可以识别面部表情。

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Facial emotion recognition with the hidden Markov model

This paper presents a simple algorithm for an automatic recognition of facial expressions. First we extract feature points, and then we define distances using these features. The variation of these distances is used to characterize the transition from one emotion to another. Our approach is based on the use of a hidden Markov model whose states can recognize facial expressions.

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2013 International Conference on Electrical Engineering and Software Applications

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