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Toward surface reconstruction using multi-image shape from shading

机译:使用多图像形状从阴影中朝表面重建

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摘要

We investigate multi-image shape from shading. Using this method the heights and the albedo of the object surface are simultaneously estimated from the pixel grey values of any given number of images taken from arbitrary camera positions, and control information. The perspective projection is used for the transformation from object into image space. The existence and the uniqueness of the solution of the described algorithm is analyzed. The following results have been derived: (1) One image allows for the reconstruction of surface inclinations of a surface assumed to be a bilinear mesh. (2) Two images with different exterior orientation allow for the calculation of surface heights. It is not necessary to use conjugate points. (3) If at least three images with different light source positions are available, the reconstruction of arbitrary surfaces with varying albedo is possible. For selected cases the results are verified using synthetic images. The theoretical standard deviations of the unknown heights are used to assess the quality of the surface reconstruction.
机译:我们调查从阴影多图像形状。使用这种方法的高度和所述物体表面的反射率同时从任何给定数目的从任意的摄象位置拍摄的图像,并且控制信息的像素的灰度值进行估计。透视投影被用于转化从物体到图像空间。的存在和所描述的算法的解的唯一性进行了分析。下面的结果已被导出:(1)一个图像允许表面的表面倾斜的重建假定为双线性啮合。 (2)的两个图像具有不同的外部定向允许表面高度的计算。这是没有必要使用共轭点。 (3)如果至少三幅图像具有不同光源位置处是可用的,任意的表面具有变化的反射率的重建是可能的。对于所选择的情况下,结果是使用合成影像验证。未知高度的理论标准偏差用于评估表面重建质量。

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