The mosaicking of point clouds is a key step in point cloud processing.We propose a point cloud mosaicking technology for multi-station laser scanning based on 2D image matching and 3D cor-responding feature point refinement to solve the problems in existing point cloud mosaicking method-ologies for multi-station laser scanning,such as low efficiency,poor accuracy,and low automation. Firstly,the 2D images are generated from the derivative information from laser scanning data using in-terpolation algorithms.Secondly,2D corresponding feature points are obtained using GPU accelera-tion SIFT image matching,eliminating gross errors.Finally,3D corresponding feature points are ac-quired using an inversion algorithm;identifying whether they are same corresponding feature points in the 3D point cloud.Experiments demonstrate the feasibility and effectiveness of the proposed method.
terrestrial lasermosaicking of point clouds2D-3D automatic mosaickingrefinement of 3D feature pointsderived information of laser point clouds
NETL
NSTL
维普
万方数据
