使用Delaunay三角剖分/ Voronoi图从原始激光雷达数据中提取建筑信息

R. Tse, C. Gold, D. Kidner
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引用次数: 11

摘要

从旅游到灾害管理等各种应用推动了对自动化3D城市重建模型的需求日益增长。激光雷达(光探测和测距)的到来——机载激光测高——现在提供了地形和建筑物的快速高程模型。激光雷达数据只包含X、Y和Z坐标,不提供任何建筑信息。挑战在于将数据转换成cad类型的模型,其中包含可以从任何3D视点快速显示的墙壁,屋顶平面和地形。本文展示了使用Delaunay三角剖分及其双Voronoi图来定位建筑块和识别屋顶结构的另一种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using the Delaunay Triangulation/ Voronoi Diagram to extract Building Information from Raw LIDAR Data
An increasing need for automated 3D city reconstruction models is being driven by a variety of applications, from tourism to disaster management. The arrival of LIDAR (light detection and ranging) - airborne laser altimetry - now provides rapid elevation models of terrain and buildings. LIDAR data contains X, Y and Z coordinates only, it does not provide any building information. The challenge is to convert the data into CAD-type models containing walls, roof planes and terrain which can be rapidly displayed from any 3D viewpoint. This paper shows an alternative method to locate building blocks and identify the roof structures with the use of the Delaunay triangulation and its dual Voronoi diagram.
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