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首页> 外文会议>International conference on graphic and image processing >Dynamic Facial Expression Recognition Based on Geometric and Texture Features
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Dynamic Facial Expression Recognition Based on Geometric and Texture Features

机译：基于几何和纹理特征的动态表情识别

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摘要

Recently, dynamic facial expression recognition in videos has attracted growing attention. In this paper, we propose a novel dynamic facial expression recognition method by using geometric and texture features. In our system, the facial landmark movements and texture variations upon pairwise images are used to perform the dynamic facial expression recognition tasks. For one facial expression sequence, pairwise images are created between the first frame and each of its subsequent frames. Integration of both geometric and texture features further enhances the representation of the facial expressions. Finally, Support Vector Machine is used for facial expression recognition. Experiments conducted on the extended Cohn-Kanade database show that our proposed method can achieve a competitive performance with other methods.
机译：近来，视频中的动态面部表情识别已引起越来越多的关注。在本文中，我们提出了一种利用几何和纹理特征的新型动态面部表情识别方法。在我们的系统中，成对图像上的面部界标运动和纹理变化用于执行动态面部表情识别任务。对于一个面部表情序列，在第一个帧及其每个后续帧之间创建成对图像。几何和纹理特征的集成进一步增强了面部表情的表示。最后，将支持向量机用于面部表情识别。在扩展的Cohn-Kanade数据库上进行的实验表明，我们提出的方法可以与其他方法取得竞争性能。

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