反求工程中的数据精简技术  

Data reduction technique in reverse engineering

作　　者：上官建林[1] 刘德平[2] Jianlin Liu Deping(Henan Mechanical and Electrical Career Academy,Zhengzhou 451191 ,China Zhengzhou University,Zhengzhou 450001 ,China)

机构地区：[1]河南机电职业学院,郑州451191 [2]郑州大学,郑州450001

出　　处：《现代制造工程》2017年第4期46-49,共4页Modern Manufacturing Engineering

摘　　要：随着激光扫描技术的不断发展,数据获得的速度及数据采集的密度也得到逐步提高。与此同时,怎样处理这些大批量的数据点也将成为基于激光扫描测量造型的主要问题。如果直接对点云进行造型处理,大批量数据的存储和处理将成为不可突破的瓶颈,从点云到模型重建整个过程将变得难以控制。目前的多数算法以牺牲效率来换取精度,而适应性最小距离法正是一种平衡效率和精度的数据精简算法。实例证明了适应性最小距离法的有效性。With the continued development of laser surveying technology, the speed of data obtaining and the density of data capturing are going to better and better. At the same time, how to process the numbers of data points is becoming the main problem of model rebuilding based on laser-scanning measurement. If disposing of the data point cloud directly, the saving and processing of the numbers of data would become the unbroken bottle-neck, and the whole process from data point to model rebuilding would become uncontrolled. Now, most algorithms get the precision by losing efficient. But, the adaptive minimum distance method pro- posed ,just is a kind of data reduction algorithm that balances the efficiency and the precision, and has been verified on its validity by an example.

关 键 词：反求工程 曲率分析 最小距离法 数据精简 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]