Expression recognition method, device and equipment and storage medium

Abstract

The invention discloses an expression recognition method and device, equipment and a storage medium. The method comprises the following steps: acquiring low-frequency feature information and Haar feature information of each frame of image in a video to be identified; the low-frequency feature information and the Haar feature information of each frame of image are input into a target model, a face image corresponding to each frame of image is obtained, the target model is obtained by iteratively training a neural network model through a target sample set, and the target model is obtained by iteratively training the neural network model; the target sample comprises a low-frequency feature information sample, a Haar feature information sample and a face image sample corresponding to the low-frequency feature information sample and the Haar feature information sample; and determining a target expression according to the face image corresponding to each frame of image. Through the technical scheme of the invention, the feature extraction time can be shortened, and the calculation efficiency can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to an expression recognition method, device, equipment and storage medium. Background technique [0002] Face recognition technology, as an important branch of biometric recognition, has been developed for decades and has been widely used in various fields of people's lives. However, in practical applications, the lighting, Face recognition technology has always faced huge challenges such as pose, expression, and occlusion. In addition, many face recognition algorithms often require a huge network structure and a large amount of training data in practical applications, making it difficult to collect face samples. The resulting lack of training samples makes these face recognition algorithms fail to achieve their ideal recognition results in practical applications. [0003] In the existing technology, in the process of face micro-expression recognitio...

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide an expression recognition method, device, equipment, and storage medium, so as to solve the problem of low recognition rate due to light, occlusion, and low video acquisition quality, and require a large amount of calculations, which cannot be achieved. The problem of micro-expression detection in real-time video acquisition can reduce feature extraction time and improve computational efficiency

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