关键词: 非正面表情识别, 深度学习, 神经网络

Abstract:

In 2017, artificial intelligence was officially upgraded to China’s national strategy. As an important research direction in the field of artificial intelligence, facial expression recognition has received extensive attention from domestic and foreign researchers. However, the traditional facial expression recognition technology cannot adapt the requirements of facial expression recognition in the natural environment. Therefore, non-frontal facial expression recognition methods have become the focus of realizing breakthroughs in the practical use of expression recognition technology. However, the existing research on non-frontal expression recognition faces many difficulties：the head deflection not only causes the distortion of the recognition image, but also partially occludes the face area, which seriously interferes with the extraction and recognition of expression features. In view of this, researchers combined deep learning technology with non-frontal facial expression recognition, relying on the depth information of non-frontal facial expression images to achieve the improvement of algorithm recognition capabilities. This survey introduces the structure of deep neural networks in detail, and compares the latest research methods of deep learning neural networks, meanwhile looks forward to future research and challenges.

Key words: non-frontal facial expression recognition, deep learning, neural network