基于包围盒法的散乱点云数据的曲率精简

采用非接触式扫描方法测量工件,能够获得高密集度的点云数据,但是过多的点云数据会严重影响曲面重构的光顺性.因此,精简点云数据成为逆向工程中相当重要的一环.提出了直接根据曲率变化精简点云的方法,对邻域搜索、曲率估算和曲率精简原则等进行了研究.对传统的邻域搜索方法进行了改进,采用包围盒法分割曲面,提高了点云精简的效率和精度.

Curvature Estimation of Scattered-point Cloud Data Based on Bounding Box Method

When the work piece with the non-contact scanning method is measured,the high density point-cloud data can be obtained.But the excessive point-cloud data seriously influence the fairness of the surface reconstruction.Therefore,condensing point-cloud data becomes a quite important link in the reverse-engineering.According to the curvature variation,a method to reduce point-cloud is proposed,and it investigates the neighborhood search,curvature estimate and the curvature estimation principle and so on.Especia...