Human Face Fast-3D-Reconstruction from a Single Image

Abstract

Human face three-dimensional (3D) reconstruction is a challenging problem. In this paper, we propose a human face fast- 3D- reconstruction method based on image processing with a single image. Shape from shading (SFS) is chosen to reconstruct the human face. First, SFS theory is introduced. It has the advantage of fast 3D reconstruction and only need a single image. Secondly, because the noise will affect the 3D reconstruction result greatly, wavelet transform and wavelet packet transform are introduced and used in image denoising respectively. The experiment has shown that the method based on wavelet transform produces the best denoising result than wavelet packet transform. At last, a human face 3D reconstruction algorithm based on a single image is proposed. The experimental results show that a human face 3D model can be reconstructed in fast by proposed algorithm.

A Review of 3D Face Reconstruction From a Single Image

“…Kemelmacher et al [31] use the input image as a guide to build a single reference model to align with the face image and then refined the reference model using SFS method. Zhao et al [32] propose a fast-3D-reconstruction method based on image processing and SFS. Wavelet transform is used in image denoising first.…”