Near surface light source estimation from a single view image

Wu Yuan Xie, C. Chung
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引用次数: 2

Abstract

Several techniques have been developed for estimating light source position in indoor or outdoor environment. However, those techniques assume that the light source can be approximated by a point, which cannot be applied safely to, for example, some case of Photometric Stereo reconstruction, when the light source is placed quite close to a small-size target, and hence the size of light source cannot be ignored. In this paper, we present a novel approach for estimating light source from single image of a scene that is illuminated by near surface light source. We propose to employ a shiny sphere and a Lambertion plate as light probe to locate light source position, where albedo variance of the Lambertian plate is used as the basis of the object function. We also illustrate the convexity of this object function and propose an efficient way to search the optimal value, i.e. source position. We test our calibration results on real images by means of Photometric Stereo reconstruction and image rendering, and both testing results show the accuracy of our estimation framework.
单视图近地表光源估计
在室内或室外环境中,光源位置的估计已经发展了几种技术。然而,这些技术假设光源可以被一个点近似,这不能安全地应用于,例如,在光度立体重建的某些情况下,当光源放置在离小尺寸目标很近的地方,因此光源的大小不能被忽略。本文提出了一种从近表面光源照射的场景单幅图像中估计光源的新方法。我们提出用发光球和兰伯特板作为光探针来定位光源位置,其中兰伯特板的反照率方差作为目标函数的基础。我们还说明了该目标函数的凸性,并提出了一种搜索最优值(即源位置)的有效方法。通过光度立体重建和图像渲染两种方法对标定结果进行了实景测试,结果表明了估计框架的准确性。
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