An accurate 3D point cloud registration approach for the turntable-based 3D scanning system

Registration of 3D point clouds is an important issue in 3D scanning domain. In this work, we developed a turntable-base structured light system for the automatically 3ED scanning purpose. To realize the fully automatically 3D point clouds registration, a planar surface is placed on the turntable and scanned with different rotation angles. The turntable axis direction vector is calculated by averaging the intersection lines of the reconstructed planes firstly. And the linear minimization function is constructed for the robust and accurate estimation of the turntable origin. A variety of objects are used in the experiment. And the results show that, point clouds under different scanning angles can be precisely registered. In addition, there are no iterative procedures in the proposed algorithm, and that makes the registration procedure more efficiently.