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首页> 外文会议>2016 5th International Conference on Informatics, Electronics and Vision >Human expression recognition based on facial features
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Human expression recognition based on facial features

机译：基于面部特征的表情识别

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Facial expression analysis is rapidly becoming an area of interest in computer science and human-computer interaction design communities. The most expressive way human displays emotion is through facial expressions. The contours of the mouth, eyes and eyebrows play an important role in classification of facial expressions. It can be classified into some classes like happiness, sadness, disgust, fear, anger, surprise and neutral. In our study we have used facial parts (two eyes, nose tip, mouth and eyebrow corners) and measured distances from those detected parts. We have used six features and used Canberra Distance (CD) for the recognition of facial expression. Increasing facial expression recognition rate is the main focus of our work. The results show that our system performs better than some other conventional methods.
机译：面部表情分析正在迅速成为计算机科学和人机交互设计社区感兴趣的领域。人类最能表达情感的方式是通过面部表情。嘴，眼和眉毛的轮廓在面部表情的分类中起重要作用。它可以分为几类，例如幸福，悲伤，厌恶，恐惧，愤怒，惊奇和中立。在我们的研究中，我们使用了面部部位（两只眼睛，鼻尖，嘴巴和眉角），并测量了与这些部位的距离。我们使用了六个功能，并使用堪培拉距离（CD）来识别面部表情。提高面部表情识别率是我们工作的重点。结果表明，我们的系统性能优于其他一些常规方法。

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