摘要
针对传统的三维重建方法既费时又费力、准确性低等,只能获取一些特征点和线性数据。本文在三维激光扫描点云的基础上,提出了一种结合ISS算法和CPD算法用于建筑物LiDAR点云配准。通过ISS算法提取点云数据的特征点,并通过CPD算法对这些特征点进行配准。并通过实验对该算法的有效性进行验证。结果表明,改进算法简单有效,提高了运算效率。该研究为我国三维激光点云数据的三维重建技术发展提供了参考和借鉴。
In view of the traditional 3D reconstruction method,which is time-consuming,laborious and low accuracy,only some feature points and linear data can be obtained.Based on the 3D laser scanning laser point cloud,this paper proposes a registration algorithm based on ISS feature points for fast CPD building LiDAR point cloud.Feature points of point cloud data are extracted by ISS algorithm,and these feature points are registered by CPD algorithm.And verify the effectiveness of the algorithm through experiments.As a result,the improved algorithm is simple and effective and has high computational efficiency.This study provides a reference for the developmentof 3D reconstruction technology of 3D laser point cloud data in China.
作者
白光亚
宋涛
李丹
成七一
BAI Guang-ya;SONG Tao;LI Dan;CHENG Qi-yi(State Grid DC Engineering Construction Company,Beijing 100032,China;Beijing Forever Technology Co.,Ltd.,Beijing 100032,China)
出处
《山东农业大学学报（自然科学版）》
北大核心
2019年第6期994-997,共4页
Journal of Shandong Agricultural University：Natural Science Edition
