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

Abstract

The embodiment of the invention provides a three-dimensional face recognition method and device, terminal equipment and a computer readable medium. The method comprises the steps of acquiring a near-infrared image and a depth image of an actual scene; normalizing the near-infrared image and the depth image, and extracting a first multi-dimensional feature vector of a human face in an actual scene;calculating a deflection angle of the face according to the key points of the face in the near-infrared image, rotating a pre-input face three-dimensional model according to the deflection angle, andperforming planar projection on the rotated face three-dimensional model to obtain an input near-infrared image and a depth image of the face; carrying out normalization processing, and extracting asecond multi-dimensional feature vector; and calculating the similarity between the first multi-dimensional feature vector and the second multi-dimensional feature vector, and performing face recognition according to the similarity, thereby effectively recognizing faces with different deflection angles, improving the three-dimensional recognition efficiency, and reducing the influence of the background on the face recognition precision.

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