一种多站标靶点云整体配准算法

An Algorithm for the Multiview Target Point Cloud Global Registration

针对普通多站标靶点云配准方法需进行基于传统测量设备的控制测量问题,提出了一种新的多站标靶点云配准方法。该方法使用三维激光扫描仪和卷尺同时完成点云数据的采集和控制测量外业工作,并将经典测边网平差理论引入到多站标靶点云配准领域,给出了相应误差方程的构建方法。实验结果不仅表明了该方法的有效性,而且证明了三维激光扫描技术应用于控制测量的可行性。

When the multiview target point clouds were registrated by common algorithm, the relevant control survey field work is usually completed by using traditional measuring equipment. Aiming at reducing contral survey field work, a new multiview target point cloud registration algorithm is proposed in this paper. In the new algorithm, the point cloud data collection and control survey field work are completed simultaneously using terrestrial laser scanner and tape equipment. The data processing work of registrating a multiview target point cloud is accomplished by introducing classical trilateration net adjustment theory and constructing a new error equation. Experimental results not only show the validity of the proposed alogrithm, but also prove the feasibility of using terrestrial laser scanner to complete control survey work.