Illumination distribution from shadows

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) Pub Date : 1999-06-23 DOI:10.1109/CVPR.1999.786956

Imari Sato, Yoichi Sato, K. Ikeuchi

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引用次数: 80

Abstract

The image irradiance of a three-dimensional object is known to be the function of three components: the distribution of light sources, the shape, and reflectance of a real object surface. In the past, recovering the shape and reflectance of an object surface from the recorded image brightness has been intensively investigated. On the other hand, there has been little progress in recovering illumination from the knowledge of the shape and reflectance of a real object. In this paper, we propose a new method for estimating the illumination distribution of a real scene from image brightness observed on a real object surface in that scene. More specifically, we recover the illumination distribution of the scene from a radiance distribution inside shadows cast by an object of known shape onto another object surface of known shape and reflectance. By using the occlusion information of the incoming light, we are able to reliably estimate the illumination distribution of a real scene, even in a complex illumination environment.

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阴影照明分布

众所周知，三维物体的图像辐照度是三个组成部分的函数:光源的分布、物体表面的形状和反射率。过去，从记录的图像亮度中恢复物体表面的形状和反射率已经得到了深入的研究。另一方面，在从真实物体的形状和反射率知识中恢复照明方面进展甚微。本文提出了一种基于真实场景中真实物体表面的图像亮度估计真实场景照度分布的新方法。更具体地说，我们从一个已知形状的物体投射到另一个已知形状和反射率的物体表面的阴影内的亮度分布中恢复场景的照明分布。利用入射光的遮挡信息，即使在复杂的照明环境下，我们也能可靠地估计真实场景的照明分布。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)

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