| 不同测站点云数据的配准算法 |
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| 引用本文： | 高益忠.不同测站点云数据的配准算法[J].北京测绘,2020(2):180-184. |
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| 作者姓名： | 高益忠 |
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| 作者单位： | 东莞市地理信息与规划编制研究中心 |
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| 摘 要： | 随着三维激光扫描技术的发展,利用三维激光扫描仪采集信息,构建三维模型成为了热门的课题。由于受到观测环境、观测方向等影响,无法一次性地获得物体的所有的点云数据。因此,不同视角下点云数据的配准成为了三维建模中的关键技术,直接影响了最终的重合结果以及模型精度。本文着重研究主方向贴合法和最近点迭代算法(ICP算法),基于matlab平台编写算法,并对算法进行研究,得出配准结果以及配准精度。
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| 关 键 词： | 点云数据配准 主方向贴合法 粗配准 ICP算法 精配准 |
Registration Algorithms for Different Point Cloud Data in Different Surveying Station |
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| GAO Yizhong.Registration Algorithms for Different Point Cloud Data in Different Surveying Station[J].Beijing Surveying and Mapping,2020(2):180-184. |
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| Authors: | GAO Yizhong |
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| Institution: | (Research Center of Geographic Information System &Planning of Dongguan, Dongguan Guangdong 523000, China) |
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| Abstract: | With the development of three-dimensional laser scanning technology,using three-dimensional laser scanner to collect information and build three-dimensional model has become a hot topic.Due to the influence of observation environment and direction,it is impossible to obtain all point cloud data of an object at one time.Therefore,registration of point cloud data from different perspectives has become a key technology in three-dimensional modeling,which directly affects the final coincidence results and model accuracy.This paper focuses on the main direction sticking method and the nearest point iteration algorithm(ICP algorithm),based on the MATLAB platform to write the algorithm,and the algorithm is studied to obtain the registration results and registration accuracy. |
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| Keywords: | point cloud data registration main direction sticking legitimacy rough registration ICP algorithm precise registration |
| 本文献已被 CNKI 维普 等数据库收录！ |
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