Facial expression recognition method and facial expression recognition device

Abstract

The invention is suitable for the field of information processing, and provides a facial expression recognition method and a facial expression recognition device. The facial expression recognition method comprises the steps that an emotion recognition model based on a convolutional neural network is constructed and trained; a facial image to be recognized is inputted to the emotion recognition model so as to output the emotion class of the facial image, wherein the emotion class includes one of the positive emotion, the negative emotion and the neutral emotion; an expression recognition model corresponding to the emotion class is acquired; and the facial image is inputted to the expression recognition model so as to output the expression class of the facial image. The facial expression is recognized by using the hierarchical mode, and different expression recognition models are selected according to different emotions so that the content required to be memorized of each recognition model can be reduced, the operation complexity of the whole expression recognition process can be reduced and the operation efficiency can be enhanced. Compared with the conventional facial expression recognition method, the facial expression recognition accuracy and recognition efficiency are higher.

Description

technical field [0001] The invention belongs to the field of information processing, and in particular relates to a facial expression recognition method and a human facial expression recognition device. Background technique [0002] The basic facial expression categories are divided into 8 categories, namely anger (anger), contempt (contempt), disgust (disgust), fear (fear), happiness (happy), neutral (neutral), sadness (sadness) and surprise ). Facial expression recognition is a technology that studies how to make a computer obtain and distinguish facial expressions from static images or video sequences. If a computer can accurately understand human facial expressions and recognize which category a human facial expression belongs to, it will greatly change the relationship between humans and computers, thereby achieving better human-computer interaction effects. [0003] The current facial expression recognition methods are mainly based on random forest algorithm, express...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the embodiments of the present invention is to provide a facial expression recognition method and a human facial expression recognition device, aiming at solving the problem that each recognition model needs to memorize more content in the current facial expression recognition method, which leads to The facial expression recognition process is complicated in calculation, and the recognition accuracy and recognition efficiency are relatively low.

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