3D Laser Scanning Data Segmentation Based on Region Dilation Strategy

Meng Li, P. Fu, Shenghe Sun
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引用次数: 2

Abstract

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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基于区域扩张策略的三维激光扫描数据分割
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。
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