重新照明获取户外场景的模型

Alejandro J. Troccoli, P. Allen
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引用次数: 13

摘要

在本文中,我们介绍了一种用于漫射户外场景的重光照算法,该算法使我们能够从一系列距离扫描和在不同光照条件下拍摄的一组重叠照片中创建几何正确且光照一致的模型。为了执行重光照,我们从两个图像的重叠区域计算一组映射。我们称这些映射为辐照比映射(IRMs)。我们的算法处理投射阴影,能够将阴影区域重新照亮为非阴影区域,反之亦然。我们通过计算四种不同的irm来解决这些情况,以处理阴影与非阴影表面的所有四种组合。为了重新照亮图像的非重叠区域,我们寻找在表面法线上索引的适当IRM,并将其值应用于相应的像素。其结果是一组照明一致的图像。
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Relighting acquired models of outdoor scenes
In this paper we introduce a relighting algorithm for diffuse outdoor scenes that enables us to create geometrically correct and illumination consistent models from a series of range scans and a set of overlapping photographs that have been taken under different illumination conditions. To perform the relighting we compute a set of mappings from the overlap region of two images. We call these mappings irradiance ratio maps (IRMs). Our algorithm handles cast shadows, being able to relight shadowed regions into non-shadowed regions and vice-versa. We solve these cases by computing four different IRMs, to handle all four combinations of shadowed vs. non-shadowed surfaces. To relight the non-overlapping region of an image, we look into the appropriate IRM which we index on surface normal, and apply its value to the corresponding pixels. The result is an illumination consistent set of images.
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