Through point cloud data acquired from the building, the course of registration based ICP algorithm is provided.
通过建筑物三维激光扫描数据的采集，对基于ICP算法的点云数据配准过程进行了详细地分析。
In Chapter 3, we present a novel registration algorithm for 3d point cloud patches based on CSRBF.
在第三章中，我们提出了一个三维点云数据片间基于紧支撑r BF的配准和融合算法。
Multi-station scanning of point cloud registration and stitching would be more quickly and efficiently, if the site goes through the fan in a single grid after treatment.
多站扫描点云的配准、拼接，如果在单站点云经过扇形网格法处理后进行，会更快速高效。
Registration algorithms for 3-d point cloud are investigated, given the unwrapped phase map computed based on phase measurement profilometry.
针对基于相位测量轮廓术得到的三维数据点，研究了三维点云配准算法。
The results show that this point cloud registration error model and the experimental method are excellent.
结果表明点云误差传播模型正确，试验方法良好。
The results show that this point cloud registration error model and the experimental method are excellent.
结果表明点云误差传播模型正确，试验方法良好。
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