Three-dimensional face recognition method, device, terminal device and computer readable medium

Abstract

An embodiment of the present invention provides a three-dimensional face recognition method, device, terminal equipment, and computer-readable medium, the method comprising: acquiring a near-infrared image and a depth image of an actual scene; normalizing the near-infrared image and the depth image process, and extract the first multi-dimensional feature vector of the face in the actual scene; calculate the deflection angle of the face according to the key points of the face in the near-infrared image, and deflect the 3D model of the face entered in advance according to the deflection angle The angle is rotated, and the rotated 3D face model is projected on a plane to obtain the input near-infrared image and depth image of the face; normalize and extract the second multi-dimensional feature vector; calculate the first multi-dimensional feature The similarity between the vector and the second multi-dimensional feature vector, and face recognition based on the similarity, can effectively recognize faces with different deflection angles, improve the efficiency of three-dimensional recognition, and reduce the impact of background on face recognition accuracy.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a three-dimensional face recognition method, device, terminal equipment and computer readable medium. Background technique [0002] Face recognition refers to the process of identifying identity by comparing facial features. The current common technology is two-dimensional face recognition, that is, feature extraction of two-dimensional planes through color (RGB) or grayscale face images. and identify. 3D face recognition refers to the process of face feature extraction and authentication in 3D space. Compared with 2D, it increases the depth information of the face and can effectively extract the 3D space information of the face. It has natural anti-counterfeiting capabilities and can Preventing photo and video attacks has stronger practical value. Among the existing 3D face recognition methods based on deep learning, one type of method uses color im...

AI Technical Summary

Problems solved by technology

The first type of method has fast recognition speed, the accuracy is comparable to the two-dimensional method, and can be anti-counterfeiting, but it is greatly affected by light, and it cannot be recognized when the face is deflected; the second type of method consumes a long time and often requires multiple frames of RGB and depth (depth) images can reconstruct a 3D face model, and the 3D convolutional neural network takes a long time to extract features, which limits the practical application of this type of method

Images