FACIAL EXPRESSION RECOGNITION ALGORITHM BASED ON DEEP LEARNING FOR STATIC AND DYNAMIC IMAGE

In recent years, artificial intelligence has started to enter many as-pects of our lives. As a main branch, computer vision has become an important research direction for the improvement of the human-computer interaction expe-rience. But for the most recent research works, pay more attention to static recog-nition or dynamic image. In this paper, in order to slove this problem, this paper studies static image recognition and dynamic recognition for video sequences, and conducts experimental tests on the CK+ and FER2013 expression datasets. This system uses the OpenCV computer vision library and the TensorFlow deep learn-ing framework to achieve face recognition and expression recognition. A video sequence captured by the camera can result in richer expression-related informa-tion, have a better recognition performance, and greatly improve the recognition rate.