1) point cloud registration of multiple views
多视点云数据对齐
2) multi-view point-clouds data alignment
多视点云对齐
3) clouds registration
点云对齐
5) multi-view point cloud
多视点云
1.
Automatic multi-view point cloud merging algorithm used in structure light measure system;
结构光测量系统中多视点云自动拼合算法
2.
One novel method for multi-view point cloud registration is presented in this paper.
提出了一种新的多视点云拼接算法。
3.
An algorithm of registration and integration for multi-view point cloud data based on least-square fixed sphere is proposed,in which the coordinates of sphere center are calculated by fitting least-square sphere,the coordinates of cloud data are transformed by the superposition of three datum points and the unwanted points are removed to inte.
提出了一种基于最小二乘固定球法的多视点云拼合算法;采用拟合最小二乘球法获取球心坐标,然后用三点对齐法实现多视数据的坐标变换,最后用加权平均法去除两组点云中的冗余点实现两组数据的融合。
6) points cloud data
点云数据
1.
Based on the experience in reverse engineering practices, the factors that influenced the accuracy of optical scanning measurement in the acquirement of points cloud data are concluded and analyzed, and the corresponding counterme asures are presented aiming at the sources of errors.
根据反求工程实践经验 ,对利用光学扫描测量技术采集点云数据时影响精度的各种因素进行了归纳与分析 ,并针对造成误差的原因提出了相应的对策。
2.
Three dimensional points cloud data are analyzed by using object-oriented programmer,and the computer-based realization,which is organized by points cloud data of urban building captured by laser scanning,is studied based on image process on the exploration platform of Visual C++6.
采用面向对象程序设计方法对三维点云数据进行分析,研究以Visual C++6。
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条