基于卷积神经网络的人脸表情技术研究

Facial expression recognition based on convolutional neural network

在日常的沟通与交流过程中,运用面部表情可以促使沟通交流变得更加顺畅,因此对于人类而言,进行面部表情的解读也是获取相关沟通交流内容的重要程序。随着科学技术的不断发展,人工智能在日常人类交流沟通中运用的越发广泛,因此面部表情人工智能识别这一项技术的发展与创新也更加受到关注。文章将对卷积神经网络的人脸表情识别技术进行深入的研究与探析。

In the process of daily communication and communication,the use of facial expressions can make communication more smooth.Therefore,for human beings,the interpretation of facial expressions is also an important procedure to obtain relevant communication content.With the continuous development of science and technology,artificial intelligence is used more and more widely in daily human communication,so the development and innovation of facial expression artificial intelligence recognition technology has attracted more attention.In this paper,the facial expression recognition technology based on convolutional neural network will be deeply studied and analyzed.