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Weighted Hough Transform for Directional Light Sources Estimation from Multi-View Images

机译:加权霍夫变换用于从多视点图像估计方向光源

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An improved method for light sources estimation from shading is proposed in this paper.This method indicates the advantage of multi-view images rather than single view image.Even though there are several methods that can be used to estimate light sources from single view image,data from single view may be not accurate for all light source estimations.The shading on a Lambertian surface sphere is used to detection critical paths and the directions of directional light sources can be estimated from these paths.Hough Transform is used to find critical paths from critical points in images.Rather than using the standard Hough Transform,we improve vote count processes by determining a weight value for each critical point in Hough space.Weight values are calculated from angles between surface normal at each critical point and view vector from cameras.The experimental results demonstrate that the proposed method with information obtained from multi-view images yields better performance than the method with a single-view image.
机译:本文提出一种改进的阴影估计光源方法,该方法表明了多视图图像而不是单视图图像的优势。即使可以使用多种方法从单视图图像估计光源,从单一视图获得的数据可能并不适用于所有光源估计.Lambertian表面球体上的阴影用于检测关键路径,并且可以从这些路径估计定向光源的方向.Hough变换用于从中查找关键路径我们通过确定Hough空间中每个关键点的权重值来改进投票计数过程,而不是使用标准的Hough变换.Weight值是根据每个关键点处的表面法线与相机视点之间的角度计算得出的。实验结果表明,该方法具有从多视角图像获得的信息,其性能优于传统方法。一种使用单视图图像的方法。

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