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3D triangulation of terrestrial laser scanning data based on spherical projection

机译:基于球面投影的地面激光扫描数据的3D三角测量

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3D Laser scanning technology plays an important role in buildings model reconstruction, mechanical modeling, heritage conservation, tunnels modeling, bridges and mine monitoring, etc. This technology can acquire accurate and dense 3D points cloud data in a short time, and it's becoming an important data acquisition means of 3D model. The construction of high-quality 3D triangulated irregular network (TIN) using the irregular points cloud is one of the key problems in model reconstruction. However, the 3D triangulation of discrete points cloud is a difficult problem and contains very complex principle, until now, the problem has not been satisfied resolved. In this paper, a 3D Delaunay triangulations algorithm of terrestrial laser scanning data based on spherical project is proposed. In the algorithm, the connection characteristics of the 3D laser scanning data are deeply investigated and utilized to help judge the relation of irregular points.
机译:3D激光扫描技术在建筑物模型重建,机械建模,遗产保护,隧道建模,桥梁和矿山监测等中起重要作用。这项技术可以在短时间内获得准确和密集的3D点云数据,并且变得非常重要3D模型的数据采集方式。使用不规则点云的高质量3D三角形不规则网络(TIN)的构造是模型重建中的关键问题之一。然而,离散点云的3D三角测量是一个难题并且包含非常复杂的原理,直到现在,问题尚未满足解决。本文提出了一种基于球面项目的地面激光扫描数据的3D delaunay三角算法。在算法中,深度研究了3D激光扫描数据的连接特性,并利用来帮助判断不规则点的关系。

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