矩不变量和HMM在面部表情识别中的应用

4th IEEE Southwest Symposium on Image Analysis and Interpretation Pub Date : 2000-04-02 DOI:10.1109/IAI.2000.839621

Y. Zhu, L. D. Silva, C. Ko

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引用次数: 123

摘要

矩不变量在移动、缩放和旋转下是不变量。它们具有很强的识别能力和鲁棒性，在模式识别中得到了广泛的应用。HMM方法是一种自然、可靠的识别方法。本文提出了一种以矩不变量为特征，HMM为识别方法的人脸表情识别方法。四种普遍的表情序列，即愤怒、厌恶、快乐和惊讶，被识别出来。我们获得的准确率高达93.75%。

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Using moment invariants and HMM in facial expression recognition

Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. The HMM method is natural and highly reliable way of recognition. In this paper we propose a method for using moment invariants as features and HMM as the recognition method in facial expression recognition. Sequences of four universal expressions, i.e., anger, disgust, happiness and surprise, are recognised. We attain accuracy as high as 93.75%.

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4th IEEE Southwest Symposium on Image Analysis and Interpretation

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