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

机译:基于转盘的3D扫描系统的精确3D点云配准方法

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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.?
机译:3D点云的配准是3D扫描领域中的重要问题。在这项工作中,我们为自动3ED扫描目的开发了基于转盘的结构化照明系统。为了实现全自动3D点云配准,将一个平面放在转盘上并以不同的旋转角度进行扫描。首先通过平均重构平面的相交线来计算转盘轴方向矢量。并构造了线性最小化函数,以实现对转台原点的鲁棒且准确的估算。实验中使用了各种对象。结果表明,可以精确地记录不同扫描角度下的点云。另外,所提出的算法中没有迭代过程,这使得注册过程更加有效。

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