A new symmetric shape from shading algorithm with an application to 3-D face reconstruction
A new symmetric shape from shading algorithm with an application to 3-D face reconstruction
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DOI：
10.1109/icip.2008.4711726
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Abdelrehim H. Ahmed;A. Farag;T. Starr
中科院分区：
文献类型：
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作者：
Abdelrehim H. Ahmed;A. Farag;T. Starr
本文将Zhao和Chellappa提出的自比图像辐照度方程转化为具有Dirichlet边界条件的偏微分方程，提出了一种新的对称形状从遮光（SFS）算法。采用拉克斯-弗里德里希扫描法求解该偏微分方程。在合成数据和实际数据上的实验证明了该算法的潜力。将该算法应用于三维人脸重建。
This paper presents a new symmetric shape from shading (SFS) algorithm where the self-ratio image irradiance equation proposed by Zhao and Chellappa is formulated as a partial differential equation (PDE) with a Dirichlet boundary condition. This PDE is solved using the Lax-Friedrichs sweeping method. The potential of the proposed symmetric SFS algorithm is demonstrated by several experiments on synthetic and real data. As an application, the proposed algorithm is used for 3-D face reconstruction.