面向逆向工程的点云数据精简方法

Methods of Point Cloud Data Reduction for Reverse Engineering

近年来,激光扫描技术有了重大的进展,3D激光扫描设备的精度越来越高,数据的捕获速度急剧增加,其每秒产生成千上万个数据点,这一巨大的数据量成为数据计算和存储的负担。因而,一个相当重要的问题就是,将这些巨大的数据进行精简,同时维持数据原有的精度。详细介绍了目前国内外在点云数据精简方面研究的一系列方法,并对它们的特点和使用场合进行详细的比较。

Recently,laser scanning technology has improved significantly.3D laser scanners have becone more accurate and the speed of data acquisition has increased dramatically.However,they generate up to thousands of points per second,which have become a burden of both computation and store of the data.It is quite important,therefore,to reduce the amount of acquire point data and convert them into formats required by manufacturing processes while maintaining the accuracy.In this paper,we present a serial methods of point cloud data reduction reseatched all in the world and presented and their characters are compared.