关键词: 八叉树, 均匀采样, OSG分页结点, 海量点云, 快速可视化

Abstract: Aiming at technical problems of long index construction time and large memory usage in existing massive point cloud visualization method, a fast visualization method based on octree and OSG paging nodes is proposed, which is rapid on the establishment of point cloud index and real-time in scheduling based on small memory usage. Using octree data index structure for data organization of point cloud, this paper establishes the level of the octree node file and saves block in file mapping way. The file node is reorganized into multi-resolution point cloud to support the OSG rendering engine. Using real-time scheduling technology based on OSG paging nodes, mass cloud points are highly quality visualized. Compared with the two mainstream point cloud processing commercial software, the results show that this method has the advantages of fast index establishment and small memory occupation, and interactive visualization is more smooth, which is suitable for mass data scheduling management and real-time visualization of various computer configuration.

Key words: octree, uniform sampling, OSG paging node, massive point cloud, fast visualization