Abstract��
As the automobiles-bodies point cloud had the traits of large geometric dimension, huge data and rigor reverse precision, one registration and integration algorithm based on the framework points was put forward. The algorithm-s basic idea is to construct the framework points of vehicle model and the mark points of the separate point cloud, to search the mapped relationship between framework points and mark points using congruence triangle principle and to match the vehicle point cloud using the improved iterative closest point(ICP) algorithm which can accelerate iterative speed. A vehicle point cloud registration example of one light truck proves that this algorithm-s accuracy on registration is exigent, the calculation speed is very fast and the algorithm is one effective method of matching vehicle body point cloud.
Zhou Yu, Du Farong, Gao Feng, Qu Weiwei.Point cloud multi-view registration and integration technology based on automobiles-bodies RE design[J] JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(04): 463-466
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2007, Vol. 33 
