机载激光雷达点云数据的实时渲染

基金项目: 国家973计划资助项目(2002CB312101)

详细信息

Real-time Render Large Amount of LIDAR Point Clouds Data

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

Funds: 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。
- LIDAR /
- 点云 /
- 实时可视化 /
- 顺序四叉树
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.
- LIDAR /
- points clouds /
- real-time visualization /
- sequential coded Quardtree