Three-dimensional reconstruction and angle of view synthesis method for moving human body

Abstract

Disclosed in the present invention is a three-dimensional reconstruction and angle of view synthesis method for a moving human body, which performs reconstruction of a moving human body by optimizing three-dimensional representations of the moving human body from an inputted multi-angle of view video. The method provided by the present invention comprises: defining a set of hidden variables on mesh vertices of a deformable human body model; transforming, on the basis of the deformation characteristics of the human body model, the set of structured hidden variables to a position of a target human body posture; mapping, on the basis of a neural network, the set of structured hidden variables to continuous voxel density and color for representing the geometric and appearance of the human body; and optimizing, on the basis of differentiable rendering, a neural network implicit function in an inputted multi-angle of view video; and performing three-dimensional reconstruction and angle of view synthesis of the moving human body on the basis of the optimized neural network implicit function. By means of a neural network implicit function, the present invention implements three-dimensional reconstruction and angle of view synthesis of a moving human body at a very small number of angles of view, which is the first method for achieving high-quality angle of view synthesis at a very small number of angles of view.