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Research on fast simplification algorithm of point cloud data

机译：点云数据快速简化算法研究

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摘要

Targeting at 3D point cloud data without any foreknowledge of information, this paper presents a new algorithm of point cloud simplification. Because of usual way of shooting in daily life, there often exist more detailed information in x-y direction in the point cloud.By using this feature, the proposed algorithm firstly selects x-y axis as the direction for division and computation and obtains x-y boundary. After observation of normal vector of point cloud, it is easy to find that if the normal vector of the points in the local region changes gently, it indicates that the region is relatively flat. On the contrary, if the normal vector changes greatly, it indicates that the region fluctuates greatly. Therefore, compute the arithmetic mean of the included angle between the normal vector of one point in the point cloud and the normal vector of its k-neighborhood point. Define the feature of that point, and based on this, extract key feature points in data. Finally, the gridding method is used to divide the scattered point cloud data whose boundary and key points have been extracted and thus finish simplification. Experimental results show the effectiveness of the proposed algorithm.
机译：针对没有任何信息知识的3D点云数据，本文提出了一种简化点云的新算法。由于日常生活中通常采用的拍摄方式，因此点云中通常在x-y方向上存在更详细的信息，通过该功能，该算法首先选择x-y轴作为划分和计算的方向，并获得x-y边界。观察点云的法线向量后，很容易发现，如果局部区域中点的法线向量变化缓慢，则表明该区域相对平坦。相反，如果法向矢量变化很大，则表明该区域波动很大。因此，计算点云中一个点的法向向量与其k邻点的法向向量之间的夹角的算术平均值。定义该点的特征，然后在此基础上提取数据中的关键特征点。最后，采用网格化方法对已提取边界点和关键点的散点云数据进行分割，从而简化了运算。实验结果表明了该算法的有效性。

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  • 来源
  • 会议地点 Singapore(SG)
  • 作者

    Yuan Huang; Feipeng Da; Lin Tang; Jian Yu; Xing Deng; Shaoyan Gai;

  • 作者单位

    Key Laboratory of Measurement and Control of CSE, Ministry of Education School of Automation, Southeast University, Nanjing, China, 210096;

    Key Laboratory of Measurement and Control of CSE, Ministry of Education School of Automation, Southeast University, Nanjing, China, 210096;

    Key Laboratory of Measurement and Control of CSE, Ministry of Education School of Automation, Southeast University, Nanjing, China, 210096;

    Key Laboratory of Measurement and Control of CSE, Ministry of Education School of Automation, Southeast University, Nanjing, China, 210096;

    Key Laboratory of Measurement and Control of CSE, Ministry of Education School of Automation, Southeast University, Nanjing, China, 210096;

    Key Laboratory of Measurement and Control of CSE, Ministry of Education School of Automation, Southeast University, Nanjing, China, 210096;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    point cloud; simplification; boundary extraction; normal vector; grid;

    机译：点云简化边界提取法线向量格线;
  • 入库时间 2022-08-26 14:02:08

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