结合激光扫描和WebGL技术的海量点云可视化研究

Massive point cloud visualization based on laser scanning and WebGL technology

三维激光扫描仪是近年来出现的一种非接触式测量技术。大多数的点云处理软件都运行在本地,难以进行大规模的数据共享,不利于多个系统的协同工作。如何实时、高效地共享数据,迅速、准确地对点云进行分析,是目前面临的一大难题。本文采用激光扫描和WebGL技术,对Potree开源框架进行二次开发,实现了海量点云及其分类、病害等相关信息在网页上的可视化。

In recent years,the 3 D scanning has become a non-contact measuring method.Most point cloud processing software works locally,making it impossible to share data on a broad scale,which makes it difficult for many systems to collaborate.A major issue we are now experiencing is how to communicate data directly and effectively,as well as how to analyze point clouds efficiently and precisely.Laser scanning and WebGL technology are employed in this research to carry out secondary development of the Potree open source framework,allowing for the display of massive point clouds and their categorization,illness,and other associated information on a web page.