计算机工程Issue(1)：49-54,6.DOI:10.3969/j.issn.1000-3428.2014.01.010
大规模点云内外存调度绘制技术
In-core and Out-of-core Exchange Rendering Technique of Large-scale Point Cloud
摘要
Abstract
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.关键词
大规模点云/平衡八叉树/内外存调度/部分内存访问/可见性判断/点云绘制Key words
large-scale point cloud/balanced octree/in-core and out-of-core exchange/part-memory access/visibility judgment/point cloud rendering分类
天文与地球科学引用本文复制引用
张毅,吕秀琴..大规模点云内外存调度绘制技术[J].计算机工程,2014,(1):49-54,6.基金项目
国家自然科学基金资助项目(41201484)；中央高校基本科研业务费专项资金资助项目(3101053) （41201484）
