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Fast Shape from Shading for Phong-Type Surfaces

机译:Phong型曲面的阴影快速成型

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摘要

Shape from Shading (SfS) is one of the oldest problems in image analysis that is modelled by partial differential equations (PDEs). The goal of SfS is to compute from a single 2-D image a reconstruction of the depicted 3-D scene. To this end, the brightness variation in the image and the knowledge of illumination conditions are used. While the quality of models has reached maturity, there is still the need for efficient numerical methods that enable to compute sophisticated SfS processes for large images in reasonable time. In this paper we address this problem. We consider a so-called Fast Marching (FM) scheme.which is one of the most efficient numerical approaches available. However, the FM scheme is not trivial to use for modern non-linear SfS models. We show how this is done for a recent SfS model incorporating the non-Lambertian reflectance model of Phong. Numerical experiments demonstrate that -without compromising quality - our FM scheme is two orders of magnitude faster than standard methods.
机译:阴影形成形状(SfS)是图像分析中最古老的问题之一,它由偏微分方程(PDE)建模。 SfS的目标是从单个2D图像计算所描绘的3D场景的重建。为此,使用图像中的亮度变化和照明条件的知识。尽管模型的质量已经成熟,但是仍然需要有效的数值方法,以便能够在合理的时间内为大型图像计算复杂的SfS过程。在本文中,我们解决了这个问题。我们考虑所谓的快速行进(FM)方案,这是可用的最有效的数值方法之一。但是,FM方案对于现代非线性SfS模型而言并非微不足道。我们将说明如何针对结合了Phong的非朗伯反射模型的最新SfS模型进行此操作。数值实验表明,在不影响质量的前提下,我们的FM方案比标准方法快两个数量级。

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  • 来源
  • 会议地点 Voss(NO);Voss(NO)
  • 作者单位

    Mathematical Image Analysis Group,Faculty of Mathematics and Computer Science, Building E1.1 Saarland University, 66041 Saarbruecken, Germany;

    Mathematical Image Analysis Group,Faculty of Mathematics and Computer Science, Building E1.1 Saarland University, 66041 Saarbruecken, Germany;

    Mathematical Image Analysis Group,Faculty of Mathematics and Computer Science, Building E1.1 Saarland University, 66041 Saarbruecken, Germany;

    Mathematical Image Analysis Group,Faculty of Mathematics and Computer Science, Building E1.1 Saarland University, 66041 Saarbruecken, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理(信息加工);
  • 关键词

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