3D human face transplanting via depth camera

Abstract

This paper presents a 3D face transplanting system with a general applicability and high efficiency. The system is capable of transplanting faces between 3D mesh models with textures quickly and simply. The main characteristic of this system is that it gets good effects on most 3D characters. This system performs face transformation and deformation with the help of the Laplace operators of the face mesh to maintain the similarity between face details. By combining Poisson image editing method and color optimization method, this system can make the texture tunes consistent and obtain a smooth transition. To make it more complete, an automatic 3D face scanning system is created to obtain 3D faces with high-quality meshes and high-resolution textures efficiently. Compared to the previous practice, the main contribution of this paper is the capability to change face transplanting objects from 2D pictures to 3D models. Moreover, the seamless connection of the two systems forms a 3D face application with a high level of automation.