The Boundary Extraction and Hole Restoration Method of Point Cloud Data of 3D Laser Scanner for Mine

2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE) Pub Date : 2020-09-27 DOI:10.1109/ICISCAE51034.2020.9236856

Chen Kai, Zhan Kai, Zhang Da, Zhang Chi

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引用次数: 1

Abstract

The 3d laser scanner for mine can obtain 3d point cloud data of many areas, such as cavity, ore pass and so on, which provides the data basis for the digital mine. However, the point cloud data often exist holes and other problems, which lead to the unreality of the 3d model. In order to solve this problem, this paper proposes a method to extract boundary of point cloud data and repair the hole of point cloud data. The point cloud boundary is extracted by fitting the least square plane of point cloud data, computing the plane normal vector, and analyzing the point cloud characteristics. Then the hole is repaired according to the formation principle of point cloud and combining with the extracted point cloud boundary. In order to verify the hole boundary extraction and restoration method of point cloud data proposed in this paper, the point cloud data of cavity obtained in the mine are used for experiment. The experimental results show that this method can quickly extract the cavity point cloud boundary and repair obvious holes, achieving the expected effect.

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矿山三维激光扫描仪点云数据的边界提取与孔洞恢复方法

矿山三维激光扫描器可获取空腔、矿槽等多个区域的三维点云数据，为数字化矿山提供数据基础。然而，点云数据往往存在孔洞等问题，导致三维模型的不真实。为了解决这一问题，本文提出了一种提取点云数据边界和修复点云数据漏洞的方法。通过拟合点云数据的最小二乘平面，计算平面法向量，分析点云特征，提取点云边界。然后根据点云的形成原理，结合提取的点云边界对洞进行修复。为了验证本文提出的点云数据的孔边界提取与恢复方法，利用矿井中获得的空腔点云数据进行了实验。实验结果表明，该方法可以快速提取空腔点云边界并修复明显的孔洞，达到预期效果。

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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来源期刊

2020 IEEE 3rd International Conference on Information Systems and Computer Aided Education (ICISCAE)

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