Single-image three-dimensional face reconstruction method and system based on convolutional neural network

The invention provides a convolutional neural network-based single-image three-dimensional face reconstruction method and system. The method comprises the steps: training an improved convolutional neural network model through a training sample set; obtaining a two-dimensional single image of a to-be-reconstructed three-dimensional face, and inputting the two-dimensional single image into the trained improved convolutional neural network model to predict and obtain a face three-dimensional deformation parameter; and obtaining a reconstructed three-dimensional face based on the three-dimensional deformation model according to the three-dimensional deformation parameters and the shape vector and the texture vector of the face in the given two-dimensional image. A VGG-16 network model is improved, and a batch normalization layer is added after output of each convolutional layer and full connection layer, so that the value output in the middle of each layer of the whole neural network is more stable, and finally,