Registration of Views for an Automatic 3D-Optical Measurement System
Keywords:
Reverse Engineering, Registration of Views, Structured LightAbstract
In this article, the procedures to assemble point clouds of an object represented in different coordinate systems into the same coordinate system using Iterative Closest Point (ICP) algorithm are presented. The ICP algorithm is composed of two parts: 1) computing the closest point in a point set to a given point and 2) corresponding point set registration. In experiments, point clouds of an object are obtained from gray-code light projection technic. The developed programs are tested by two examples: a) verifying the developed programs against point set matching example from [4] and b) assembling point clouds obtained by scanning a cube with dimension 0.2 m.
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