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Performance results of the improved method of photometric stereo using local shape from shading on variable albedo samples

机译:可变反照率样本上使用局部形状的阴影改进的光度立体方法的性能结果

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This work presents the performance results of the improved photometric stereo (PS) method (Sakarya et al. (2003)), which integrates PS and local shape from shading (SFS) algorithms, on variable albedo samples. The PS problem can be solved with the linear equation system by using at least three input images illuminated in different directions. SFS recovers the shape of an object from a single image and it does not work on the variable albedo samples. The main idea of the integration of PS and SFS can be explained briefly as follows: PS produces the initial estimated depth for overcoming the global accuracy and recovering the albedo map; SFS supplies the more detailed information within each homogeneous area.
机译:这项工作提出了改进的光度立体(PS)方法的性能结果(Sakarya et al。(2003)),该方法在可变的反照率样本上集成了PS和阴影(SFS)算法的局部形状。可以使用线性方程组通过使用至少三个在不同方向照亮的输入图像来解决PS问题。 SFS从单个图像恢复对象的形状,并且不适用于可变的反照率样本。 PS和SFS集成的主要思想可以简要解释如下:PS产生初始估计深度,以克服整体精度并恢复反照率图; SFS在每个同类区域内提供更详细的信息。

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