Surface normals and height from non-Lambertian image data
Surface normals and height from non-Lambertian image data
复制标题
非朗伯图像数据的表面法线和高度
DOI：
10.1109/3dpvt.2004.124
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
E. Hancock
中科院分区：
文献类型：
--
作者：
H. Ragheb;E. Hancock
众所周知，许多表面表现出不能很好地由朗伯定律建模的反射率。这不仅适用于粗糙或有光泽的表面，而且适用于无光泽且由颗粒悬浮物材料组成的表面。因此，标准的朗伯形状从阴影的方法不能直接应用于粗糙和有光泽的表面的分析。为了克服这一困难，我们考虑如何重建的朗伯分量粗糙和有光泽的表面时，物体被照亮的观察方向。为了做到这一点，我们利用Oren和Nayar以及Wolff描述的漫反射模型。我们的实验与合成和真实世界的数据显示的校正方法的有效性，从而提高表面正常和高度恢复。
It is well known that many surfaces exhibit reflectance that is not well modelled by Lambert's law. This is the case not only for surfaces that are rough or shiny, but also those that are matte and composed of materials that are particle suspensions. As a result, standard Lambertian shape-from-shading methods cannot be applied directly to the analysis of rough and shiny surfaces. In order to overcome this difficulty, we consider how to reconstruct the Lambertian component for rough and shiny surfaces when the object is illuminated in the viewing direction. To do this we make use of the diffuse reflectance models described by Oren and Nayar, and by Wolff. Our experiments with synthetic and real-world data reveal the effectiveness of the correction method, leading to improved surface normal and height recovery.