Research And Application Of Point Cloud Surface Reconstruction Algorithm Based On Power Scene

With the development of point cloud surface reconstruction technology,the application of reverse engineering and modeling technology has become more and more extensive.Its main application direction is to digitally restore the geometric information of a certain three-dimensional model.This article is based on the surface reconstruction of point cloud data.,Research on surface reconstruction for large-scale power scenes.Reconstruction using point cloud data is simple and accurate,and will not be affected by external factors.The three-dimensional point cloud data can accurately record the sampling information on the surface of the electrical tower,and the geometric form in the space can be restored after reconstruction,providing a more credible and accurate data basis for model equipment and shape measurement.This paper compares the commonly used topological structures and reconstruction algorithms for point cloud surface reconstruction,and selects the most appropriate space division struct ure and reconstruction algorithm.The main research contents are as follows:(1)Study the point cloud preprocessing method.In the point cloud preprocessing operation,the octree topology is adopted to divide the space,and the dynamic subspace is divided based on the point cloud density value,and it stops when the density value is lower than a certain value.The division of subspaces improves the efficiency of division while reducing the waste of space resources.In addition,the radius neighborhood search method is used to efficiently query candidate points when performing point cloud surface reconstruction operations.(2)Research on point cloud surface reconstruction methods for large-scale power scenes.In the process of point cloud surface reconstructi on,the triangle mesh reconstruction based on the circumscribed sphere strategy is adopted.The algorithm searches the extension points by dynamically circumscribed the sphere.The point cloud that meets certain constraints is the best extension point.The edge list is established at the time,and the edge expansion conditions are constrained by setting the flag bit,and the expansion points are connected to complete the reconstruction.The experimental results show that this algorithm can realize the surfa ce reconstruction of massive power scene point cloud data.Compared with Poisson reconstruction,it is more efficient and stable,and there is no surface cavity.The time complexity is low,and it has a better surface reconstruction effect.