Abstract：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 3D laser multi-view scanning point cloud data synchronization registration is feasibility and practical.
朱瑞芳, 方勇. 多视点云数据同步配准新方法[J]. 国土资源遥感, 2013, 25(2): 47-52.
ZHU Ruifang, FANG Yong. New method for multi-view point cloud data synchronization registration. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 47-52.
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2013, Vol. 25 
