A Modified Iterative Closest Point Algorithm for 3D Point Cloud Registration
Tóm tắt
In this article, an accurate method for the registration of point clouds returned by a 3D rangefinder is presented. The method modifies the well‐known iterative closest point (ICP) algorithm by introducing the concept of deletion mask. This term is defined starting from virtual scans of the reconstructed surfaces and using inconsistencies between measurements. In this way, spatial regions of implicit ambiguities, due to edge effects or systematical errors of the rangefinder, are
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