用于XR应用的3D点云的颜色转移

Herbert Potechius, T. Sikora, S. Knorr
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引用次数: 2

摘要

在本文中,我们分析和比较了四种不同的颜色转移算法,这些算法最初是为2D图像开发的,用于3D点云。特别是,我们将给定参考3D点云的颜色分布转移到源3D点云,以改变场景的照明。3D模型的色彩转移可能会成为AR和VR应用中的一项重要任务,例如,现有的3D模型需要根据物体位移和照明变化等场景变化实时更新。为了更好地比较颜色转移算法的结果,我们创建了一个室内场景在不同光照条件下重建的三维点云数据集,并采用直方图对比和体素对比两种比较方法进行客观评价,本文将对此进行详细描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color Transfer of 3D Point Clouds For XR Applications
In this paper, we analyse and compare four different color transfer algorithms, which were originally developed for 2D images, for 3D point clouds. In particular, we transfer the color distribution of a given reference 3D point cloud to a source 3D point cloud in order to change the illumination of the scene. Color transfer of 3D models might become an important task in AR and VR applications where e.g., an existing 3D model needs to be updated in real-time according to scene changes like displaced objects and illumination changes. In order to better compare the results of the color transfer algorithms, we created a data set of 3D point clouds consisting of reconstructions of an indoor scene under different lighting conditions, and applied two comparison methods for an objective evaluation, namely histogram comparison and voxel comparison, which will be described in detail in this paper.
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