摘要
通过对现有点云数据存储结构进行综合分析及比较,提出了一种基于八叉树及KD树的混合型点云数据存储结构模型,文中对该模型的基本原理、实现步骤及快速索引的建立等进行了全面的论述,最后以一组实测数据为例,比较了KD树、八叉树和本文提出的混合结构三种不同数据组织方式的检索效率,证明了所提出存储结构的有效性及实用性。
Based on analysis and comparison to existing point cloud storage structures, presents an integrated point cloud storage structure base on Octree and KDTree, describes its basic theory, work flow and index building method, at last a group of real data are employed to check and test the efficiency of Octree, KDTree and presented data structure, and the results shows that presented data structure has higher search efficiency and more suitable for point cloud data storage than the others.
出处
《计算机系统应用》
2012年第3期87-90,共4页
Computer Systems & Applications
基金
国家自然科学基金(40871196
40901192)
关键词
海量点云
数据结构
三维激光扫描
存储结构
索引
huge quantity of point cloud
data structure
3D laser scanning
storage structure
index
