关键词: 深度学习, 表情识别, 证据理论, 自编码网络, 自注意力

Abstract: Facial expression recognition is a further research based on face detection, which is an important research direction in the field of computer vision. The goal of the research is to automatically recognize facial expressions based on micro video and study how to use deep learning technology to assist and promote the development of facial expression recognition technology in a big data environment. A fully automated expression recognition model has been designed to address some of the key technical challenges in the expression intelligence recognition process. The model combines a deep auto-encoding network and a self-attention mechanism to construct a sub-model for automatic extraction of facial expression features, and then the evidence theory is used to fuse the results of multi-feature classification. Experimental results show that the model can significantly improve the accuracy of expression recognition, which has important theoretical significance and research value.

Key words: deep learning, expression recognition, evidence theory, auto-encoding network, self- attention