Face recognition model training method and device, equipment and storage medium

Abstract

The invention relates to the technical field of artificial intelligence, and discloses a face recognition model training method, device and equipment and a storage medium, and the method comprises the steps: employing a plurality of first training samples to train an initial three-dimensional face texture model generation module, and obtaining a target three-dimensional face texture model generation module; based on a target three-dimensional face texture model generation module, obtaining a to-be-disturbed three-dimensional face texture model according to a target second training sample obtained from the plurality of second training samples; performing illumination and texture disturbance and image generation according to the to-be-disturbed three-dimensional face texture model, a preset image projection and texture mapping model and a preset projection angle set to obtain a to-be-trained two-dimensional face image set; and training the initial face recognition model according to the to-be-trained two-dimensional face image set and the face image calibration value to obtain a target face recognition model. Effective modeling aiming at the change of illumination and expression textures is realized, and the robustness of the model to disturbance is improved.

Description

technical field [0001] The present application relates to the technical field of artificial intelligence, in particular to a training method, device, equipment and storage medium for a face recognition model. Background technique [0002] The emergence of deep neural networks has brought rapid development to the application of computer vision technology, so that face recognition technology based on deep learning technology has been widely used. None of the existing face recognition technologies based on 2D face images or 3D structured light can effectively model changes in facial expression textures under ambient lighting conditions and different viewing angles, which reduces the robustness of face recognition models. Contents of the invention [0003] The main purpose of this application is to provide a training method, device, equipment, and storage medium for a face recognition model, aiming at solving the problem that the existing face recognition technologies based on...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of this application is to provide a training method, device, equipment, and storage medium for a face recognition model, aiming at solving the problem that the existing face recognition technologies based on two-dimensional face images or three-dimensional structured light cannot target ambient light. Conditions and changes in expression textures under different viewing angles can be effectively modeled, reducing the technical problems of the robustness of face recognition models

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