Facial Expression Recognition Algorithm Based on Convolution Neural Network and Multi-Feature Fusion

Abstract

Facial expression recognition is a hot topic in the field of computer vision. The related research results show high application value in many fields, such as human-computer interaction, intelligent emotional robot, fatigue driving detection, medical health, safety prevention and control, teaching evaluation and so on. However, the huge difference within the expression class still has a prominent impact on the expression recognition, and it is difficult to solve this problem by single feature and traditional feature fusion methods. Therefore, this paper uses neural network and feature fusion strategy to further characterize and classify the constructed features. Experiments show that this method can effectively overcome the interference caused by the differences within the expression class, and achieve ideal expression recognition results.