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Research Status and Prospect of Face Expression Recognition

机译:面部表情识别的研究现状与展望

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Facial expression is an important feedback of human feelings, and has always been the focus of human-computer interaction research. In recent years, with the rapid rise of artificial intelligence technology and the dramatic improvement of computing technology, the method of facial expression recognition has changed greatly, from the traditional machine learning method of image preprocessing, feature extraction and classification into classifier to the deep learning method based on large data cloud computing, and the recognition rate of facial expression has been remarkable. Raise. This paper introduces the common facial expression database, facial expression recognition based on classical machine learning method and popular deep learning method. Finally, the research of facial expression recognition is summarized and prospected.
机译:面部表情是人类感受的重要反馈,并一直是人机互动研究的重点。近年来,随着人工智能技术的快速升高和计算技术的戏剧性提高,面部表情识别的方法已经大大变化,从传统的机器学习方法的图像预处理,功能提取和分类为分类器到深度学习基于大数据云计算的方法,面部表情的识别率显着。增加。本文介绍了常见的面部表情数据库,基于经典机器学习方法和流行深度学习方法的面部表情识别。最后,总结和展望了面部表情识别的研究。

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