点云
激光扫描
计算机科学
均方误差
图像配准
点(几何)
云计算
扫描仪
人工智能
计算机视觉
遥感
算法
数学
统计
地理
图像(数学)
几何学
激光器
光学
物理
操作系统
作者
Ronghua Yang,Xiaolin Meng,Yibin Yao,Bi Yu Chen,Yangsheng You,Zejun Xiang
出处
期刊:Isprs Journal of Photogrammetry and Remote Sensing
日期:2018-09-01
卷期号:143: 48-56
被引量:7
标识
DOI:10.1016/j.isprsjprs.2018.05.002
摘要
Point cloud registration is essential for processing terrestrial laser scanning (TLS) point cloud datasets. The registration precision directly influences and determines the practical usefulness of TLS surveys. However, in terms of target based registration, analytical point cloud registration error models employed by scanner manufactures are only suitable to evaluate target registration error, rather than point cloud registration error. This paper proposes an new analytical approach called the registration error (RE) model to directly evaluate point cloud registration error. We verify the proposed model by comparing RE and root mean square error (RMSE) for all points in three point clouds that are approximately equivalent.
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