新的点云数据精简存储方法  

New method for point cloud data reduction

作　　者：张有亮[1] 刘建永[1] 付成群[1] 郭杰[1] 

机构地区：[1]解放军理工大学工程兵工程学院,南京210007

出　　处：《计算机应用》2011年第5期1255-1257,共3页journal of Computer Applications

基　　金：国家博士后科学基金资助项目(20090451499)

摘　　要：海量点云数据的精简存储是逆向建模的一个关键环节,针对单站地面固定式三维激光扫描点云扇形等特点,提出了一种新的点云精简存储方法——扇形网格法。对点云数据遍历一次,即完成对点云的精简、降噪与存储,并用VC++6.0编写实现。多站扫描点云的配准、拼接,如果在单站点云经过扇形网格法处理后进行,会更快速高效。在与传统点云压缩算法分析对比的基础上,对其特点进行了分析,对在战场地形数字化中的适用性进行了验证。The reduction and storage of enormous point cloud data is a crucial link in reverse model reconstruction.Considering the features of point cloud data by single station laser scanning,a new method — grid sector method was put forward for its reduction and storage.Point cloud data could be filtered and stored only by traversal.This method was realized on VC＋＋ 6.0.Multi-station scanning of point cloud registration and stitching would be more quickly and efficiently,if the site goes through the fan in a single grid after treatment.Based on the contrast with traditional compressing methods,this paper analyzed its characteristics and proved its applicability in battlefield terrain digitization.

关 键 词：单站三维激光扫描 点云数据 精简存储 扇形网格法 战场地形数字化 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置] TP391.75[自动化与计算机技术—控制科学与工程]