NEURAL NETWORK MODEL TRAINING METHOD AND APPARATUS, FACE RECOGNITION METHOD AND APPARATUS, DEVICE, AND MEDIUM

摘要

A neural network model training method and apparatus, a face recognition method and apparatus, a device, and a medium, capable of effectively recognizing a face to be recognized. The neural network model training method comprises: obtaining point cloud data corresponding a face and depth image data corresponding to the face (S10); obtaining first projection data of the point cloud data in a first preset direction, and obtaining second projection data of the point cloud data in a second preset direction, the first preset direction and the second preset direction being different projection directions (S20); using the depth image data, the first projection data, and the second projection data as training data of a VGG neural network model (S30); and training the VGG neural network model by means of a training set constituted by the training data corresponding to N faces, wherein N is greater than or equal to 2 (S40), to obtain a converged VGG neural network model.