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Proceedings Paper

Model-assisted face reconstruction based on binocular stereo
Author(s): Xi Sun; Ying Zheng; Zengfu Wang
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Paper Abstract

In this paper we propose a model-assisted binocular stereo algorithm for 3D face reconstruction. First, stereo correspondence is reliably performed between input stereo images by employing a 3D reference face model as a medium. Then, a high-quality dataset of point cloud is generated by triangulation from the stereo correspondence. Finally, an accurate and feature-preserving 3D face surface is reconstructed from the point cloud dataset by a denoising operation of bilateral filtering and surface meshing. We have compared the reconstructed faces with ground truth 3D data. The experimental results show that the proposed algorithm is effective with the average error of 2.6mm.

Paper Details

Date Published: 4 August 2010
PDF: 9 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 77442Y (4 August 2010); doi: 10.1117/12.863269
Show Author Affiliations
Xi Sun, Univ. of Science and Technology of China (China)
Ying Zheng, Univ. of Science and Technology of China (China)
Zengfu Wang, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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