Facial expression recognition method and device, storage medium and electronic device

Abstract

The invention discloses a facial expression recognition method and device, a storage medium and an electronic device. The method comprises the following steps: utilizing the target neural network model to identify a first expression type from the first image, wherein the target neural network model is used for extracting a first feature according to the color of a pixel point in the first image, extracting a second feature of a face key point from the first image, and determining a first expression type of an object face in the first image by using the first feature and the second feature. According to the method, the technical problem of low accuracy of identifying the facial expression type in the prior art is solved.

Description

technical field [0001] The present invention relates to the field of the Internet, in particular to a facial expression recognition method and device, a storage medium, and an electronic device. Background technique [0002] The generation of human emotions is a very complicated psychological process, and the expression of emotions is accompanied by a variety of expressions. There are mainly three expressions that are often used by computer scientists for research: facial expressions, voice, and actions. Among these three ways of expressing emotions, expressions contribute as much as 55% of the emotion. With the increasing application of human-computer interaction technology, facial expression recognition technology has great potential in the fields of human-computer interaction, automatic driving and medical health. very important meaning. [0003] In the facial expression recognition technology, due to the existence of the following reasons: one is that the expressions of...

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Problems solved by technology

All of the above will affect the accuracy of facial expression recognition.

[0004] For the above problems, no effective solution has been proposed

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