In-core and Out-of-core Exchange Rendering Technique of Large-scale Point Cloud
YuXiang Zhang · Jisuanji gongcheng · 2014
For fast rendering of large scale point cloud, balanced octree storage structure is proposed based on part-memory access mechanism and node points limit as leaf nodes forming condition. The rendering process in-core and out-of-core is designed, including node visible judgment, data scheduling and point cloud drawing. In order to improve the efficiency of visibility judgment, node visualization radius is proposed on the basis of distance and angle constraints between viewpoint and node. Experiments are done with measured large-scale point cloud data. It concludes that the technical approach in this paper is able to smoothly render one hundred million point cloud from global to local with a smaller memory consumption in limited memory resources.