“透视形状从阴影”和粘度解决方案

E. Prados, O. Faugeras
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引用次数: 140

摘要

本文提出了一种解决针孔相机模型(进行透视投影)的兰伯特形状从阴影(SFS)问题的方法。我们的方法是基于汉密尔顿-雅可比方程的粘性解的概念。这种方法使我们能够自然地处理非光滑解,并为证明算法的正确性提供了一个数学框架。我们的工作从三个方面扩展了之前在该领域的工作。首先,它将相机建模为针孔,而大多数作者假设为正射影,从而将形状的适用性从阴影方法扩展到更逼真的图像。特别是,它扩展了E. Prados等人(2002)和E. Rouy等人(1992)的工作。其次,将亮度方程应用于透视问题,得到一个新的偏微分方程。得到了其解的存在唯一性。第三,它允许我们提出一种新的近似方案和一种新的算法来计算“连续”解的数值近似,并证明它们向该解收敛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"Perspective shape from shading" and viscosity solutions
This article proposes a solution of the Lambertian shape from shading (SFS) problem in the case of a pinhole camera model (performing a perspective projection). Our approach is based upon the notion of viscosity solutions of Hamilton-Jacobi equations. This approach allows us to naturally deal with nonsmooth solutions and provides a mathematical framework for proving correctness of our algorithms. Our work extends previous work in the area in three aspects. First, it models the camera as a pinhole whereas most authors assume an orthographic projection, thereby extending the applicability of shape from shading methods to more realistic images. In particular it extends the work of E. Prados et al. (2002) and E. Rouy et al. (1992). Second, by adapting the brightness equation to the perspective problem, we obtain a new partial differential equation (PDE). Results about the existence and uniqueness of its solution are also obtained. Third, it allows us to come up with a new approximation scheme and a new algorithm for computing numerical approximations of the "continuous" solution as well as a proof of their convergence toward that solution.
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