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On the Estimation of the Luminance Distribution by the Diffuse Reflection Component of an Object’s Surface and Shape Measurement

机译:基于物体表面和形状测量的漫反射分量估计亮度分布

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References(17) A method is described for estimating three-dimensional(3D) shapes from two-dimensional(2-D) shading information in gray-level images that uses the diffuse reflection components in a luminance distribution with diffuse and specular reflection components. It overcomes the problem of highlights caused by the specular reflection components that occurs when multiple fixed light sources are used, which is a drawback to the “photometric stereo” method proposed by Woodham. First, the bi-directional reflectance distribution function is estimated for the detected area of a gray-level image with highlights. Then, the luminance distribution caused by the diffuse reflection components in the detected area is estimated based on the luminance distribution in a gray-level image without highlights. Numerical shape-measurement experiments using mixed diffuse-specular objects with different characteristic reflectances and shapes showed that the proposed method can accurately measure the 3-D shape of mixed diffuse-specular objects.
机译:参考文献(17)描述了一种用于从灰度图像中的二维(2-D)阴影信息估计三维(3D)形状的方法,该方法使用具有漫反射和镜面反射分量的亮度分布中的漫反射分量。它克服了使用多个固定光源时由镜面反射分量引起的高光问题,这是伍德汉姆提出的“光度立体”方法的一个缺点。首先,针对具有亮点的灰度图像的检测区域,估计双向反射率分布函数。然后,基于无亮点的灰度图像中的亮度分布来估计由检测区域中的漫反射分量引起的亮度分布。使用具有不同特征反射率和形状的混合漫反射镜对象的形状测量实验表明,该方法可以精确地测量混合漫反射镜对象的3D形状。

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