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Reduction of rank-reduced orientation-from-color problem with many unknown lights to two-image known-illuminant photometric stereo

机译:将许多未知光的等级降低的颜色定向降低为两个图像的已知光源光度立体

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How does shape from shading proceed when two or more differently colored light sources are present? For a uniformly colored Lambertian surface illuminated by a collection of point or extended light sources or inter reflections, with unknown directions and strengths, illumination varies spectrally with orientation from the surface. If light varies enough in color and direction, then surface orientation can be recovered by a kind of photometric stereo, but with a single image and many unknown lights. RGB values lie on an ellipsoid in color and the strengths and directions of three effective "lights" can be recovered from regression and by additional constraints derived from three estimates of light source tilt. However, it is quite likely that illumination color does not vary enough. In that case RGB points fill a planar 2D ellipse in color space. We give a result for the ellipse boundary that enables one to recover the strengths and angle between two effective lights producing the 2D shading. We then show that equations for the tilts of the linearly related three effective lights in 3D give an additional three independent constraints. Solving yields lights in 2D and hence in 3D as well. Thus the rank 2 orientation from color problem reduces to known light 2 image photometric stereo. Robust methods are used throughout.
机译:当存在两个或更多不同颜色的光源时,如何从阴影进行形状处理?对于由点光源或扩展光源或相互反射照明的,颜色均匀的朗伯表面,其方向和强度未知,照明的光谱会随着表面方向的变化而发生光谱变化。如果光在颜色和方向上变化足够大,则可以通过一种光度学立体图像恢复表面方向,但是具有单个图像和许多未知光。 RGB值位于椭圆形上,可以通过回归并​​通过从光源倾斜的三个估计得出的其他约束条件来恢复三个有效“光”的强度和方向。但是,照明颜色很可能变化不大。在这种情况下,RGB点会填充颜色空间中的平面2D椭圆。我们给出了椭圆边界的结果,该结果使人们能够恢复产生2D阴影的两个有效光之间的强度和角度。然后,我们表明,线性相关的三个有效光在3D中的倾斜度方程式给出了另外三个独立约束。求解产生2D的光,因此也产生3D的光。因此,来自颜色问题的等级2取向降低为已知的光2图像光度立体。始终使用可靠的方法。

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