结构体整体变形量提取算法

The Extraction of Structure Deformation

以往利用三维激光扫描提取变形量都是基于DEM模型进行变形量的提取。该方法提取的是一维变形量,没有考虑不同方向的变形量。针对此,对基于K-最邻近点搜索的ICP算法进行改进;并基于局部匹配的方法,提取结构体的整体变形量,包括变形的方向和大小。首先,对ICP算法中最邻近点搜索容易出现重复的地方进行了修改,构建了改进的K-最邻近点搜索的ICP算法。其次,利用该算法对采集的两期点云进行全局配准,并将配准后的结构体点云进行归一化处理。最后,利用该算法对结构体点云进行局部匹配,从而可以得到结构体的整体变形量,包括3个旋转向量和3个平移向量。通过实例,验证了该方法在结构体变形提取中的有效性。

The extraction of deformation was based on DEM by using the point cloud of terrestrial laser scanning. This method extracts the 1D deformation without considering the deformation of different direction. This paper im- proved the k-Nearest-Neighbor search ICP algorithm and extracted the structure deformation based on the local reg- istration, which include the direction of deformation and the size of the deformation. Firstly, the repeated point cloud of Nearest-Neighbor of ICP algorithm was improved. The improved k-Nearest-Neighbor search ICP algorithm was constructedly. Secondly, the two point cloud was transformed by the global registration using the proposed method, the point cloud of structure after registration was normalized. Finally, the local registration was conducted to extract the overall deformation of structure based on the proposed method, which include three rotating and three translational variables. The method proposed by this paper was feasibility by the validation of example.