基于区域扩张策略的三维激光扫描数据分割

Meng Li, P. Fu, Shenghe Sun
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引用次数: 2

摘要

近年来,三维激光扫描以其简单、快速的特点受到人们的广泛关注。然而,三维激光扫描仪的输出是亚随机分布的三维点云,无法直接提取与物体结构相关的信息。提出了一种基于区域扩张策略的三维激光扫描数据表面分割算法。实验采用罗兰LPX-250型三维激光扫描仪,实验结果表明,该算法可以很好地处理各种类型的三维激光扫描数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
3D Laser Scanning Data Segmentation Based on Region Dilation Strategy
Recently, 3D laser scanning is getting great interest for its relevant simplicity and speed. However, the output of 3D laser scanner is characterized as sub-randomly distributed 3D point clouds, the information associated with the object structure cannot be extracted directly. In this paper, a surface segmentation algorithm based on region dilation strategy for 3D laser scanning data is proposed. A Roland LPX-250 3D laser scanner is used in our experiment and the results show that this algorithm works well on various types of 3D laser scanning data.
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