Face Expression Recognition Based on Deep Convolution Network

A method based on depth volume and network for facial expression recognition was proposed. This method takes the facial expression image as the input of the CNN and trains the CNN network, and then uses the trained network to perform facial expression recognition. This paper uses jaffe and ck+ two face expression libraries to verify the algorithm, proves the effectiveness of the algorithm, and shows that its performance is better than the traditional method.