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机载激光雷达点云数据的实时渲染
引用本文:黄先锋,陶闯,江万寿,龚健雅.机载激光雷达点云数据的实时渲染[J].武汉大学学报(信息科学版),2005,30(11):975-978.
作者姓名:黄先锋  陶闯  江万寿  龚健雅
作者单位:1. 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129,430079
2. 约克大学地球与大气科学系,多伦多市Keele大街4700号,加拿大
基金项目:国家973计划资助项目(2002CB312101)
摘    要:提出了一种实时绘制大规模LIDAR点云数据的方法。该方法通过构建一棵顺序四叉树使点云均匀分布在四叉树节点上,来实现快速的数据筛选。阐述了顺序四叉树的快速建立,并通过一个试验系统验证了文中所提方法的有效性。试验表明,使用目前普通配置的计算机,通过自适应控制绘制的数据量,可以实时绘制约1GB的原始点云数据。

关 键 词:LIDAR  点云  实时可视化  顺序四叉树
文章编号:1671-8860(2005)11-0975-04
收稿时间:2005-09-13
修稿时间:2005年9月13日

Real-time Render Large Amount of LIDAR Point Clouds Data
HUANG Xianfeng,C. Vincent Tao,JIANG Wanshou,GONG Jianya.Real-time Render Large Amount of LIDAR Point Clouds Data[J].Geomatics and Information Science of Wuhan University,2005,30(11):975-978.
Authors:HUANG Xianfeng  C Vincent Tao  JIANG Wanshou  GONG Jianya
Affiliation:1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;2.Department of Earth and Atmospheric Science, York University, 4700 Keele Street, Toronto, Canada
Abstract:The authors propose a method to real-time render large amount of LIDAR points clouds. In order to fast culling invisible data and make result of progressive rendering reasonable, a sequential coded Quardtree is built with points clouds evenly distributed to nodes of every layer from top to down. The authors discussed the procedure of building a sequential coded QuardTree, explain how to add points clouds to nodes of tree. The authors also implement a system to prove the method proposed in this paper, which can real-time render 1GB raw point clouds( about 20 million points) data with common commodity computer.
Keywords:LIDAR  points clouds  real-time visualization  sequential coded Quardtree
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