多视点云数据同步配准新方法

New method for multi-view point cloud data synchronization registration

针对三维激光多视扫描点云数据的配准问题,提出了一种基于空间相似变换原理的同步配准新方法。首先借助罗德里格矩阵求取各测站与基准坐标系下的转换参数;然后根据各测站之间的联系,对变换的初始参数进行联合平差,利用同步配准模型求得改正后的变换参数,实现多视点云同步配准;最后使用Realworks Survey软件中基于目标的配准工具进行处理,利用配准结果实现对该算法的验证。通过分析同步配准误差来源及对比二者的精度,证明三维激光扫描多视点云数据同步配准方案具有可行性和实用性。

Aimed at solving the problem of registration of 3D laser multi - view scanning point cloud, this paper presents a new synchronization registration approach based on the spatial similarity transformation principle. Firstly, the original transformed parameters are figured out between each survey station and reference coordinate system with the Rodrigues matrix, then adjustment is made according to the relationship of survey stations so as to get the adjusted transformation parameters by means of synchronization registration model put forward in this paper and realize multi -view point cloud synchronization registration. Finally, the registration results verify the algorithm put forward in this paper by the target - based registration tool in Realworks Survey software. The precision of the coordinate transformation model and the error source of the point clouds registration were analyzed through a comparison with Realworks Survey software registration. The results show that the program of 3 D laser multi -view scanning point cloud data synchronization registration is feasibility and practical.