Triangular mesh establishment of 3D laser scanning data based on ellipsoidal projection

De-hua Zheng, Jia Li
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Abstract

The establishment of high quality triangular mesh is one of the key steps in 3D laser scanning data processing. Traditional triangulation algorithms have been proposed directly on the basis of adjacency relation between points in 3D space. However, when the point density is non-uniform or the noise exists, the problems such as surface hole, dough sheet overlapping and inconsistent normal appear easily. In this paper, a triangular mesh establishing algorithm based on ellipsoidal projection is proposed. After comparing the theory of ellipsoidal projection and cylindrical projection, the proposed triangular mesh establishing algorithm is analyzed in detail including basic idea and implementation method. To evaluate the performance and efficiency of the proposed algorithm, two experiments are then carried out on the 3D point cloud data of a foundation pit. The results indicate that though the computational efficiency of proposed algorithm is a little inferior to the algorithm based on cylindrical projection, the proposed algorithm is more effective for establishing point cloud of both top and bottom of the object and the original topological relation of 3D scanning points can be maintained better.
基于椭球投影的三维激光扫描数据三角网格建立
高质量三角网格的建立是三维激光扫描数据处理的关键步骤之一。传统的三角剖分算法是直接基于三维空间中点之间的邻接关系提出的。然而,当点密度不均匀或存在噪声时,容易出现表面孔洞、面片重叠和不正常等问题。提出了一种基于椭球投影的三角网格建立算法。在比较椭球投影和圆柱投影理论的基础上,详细分析了所提出的三角网格建立算法的基本思想和实现方法。为了评估该算法的性能和效率,在某基坑的三维点云数据上进行了两次实验。结果表明,虽然该算法的计算效率略低于基于圆柱投影的算法,但该算法在建立物体顶部和底部的点云时更有效,并且能更好地保持三维扫描点的原有拓扑关系。
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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