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.

• Periodical: Applied Mechanics and Materials (Volumes 157-158)
• Pages: 1008-1011
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.157-158.1008
• Online since: February 2012
• Authors: Hui Huang Zhao, Yao Nan Wang, Ya Qi Sun, Jian Zhen Chen
• Keywords: Human Face, Shape from Shading, Three-Dimensional Reconstruction, Wavelet Packet Transform (WPT)

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