太原理工大学学报2017，Vol.48Issue(6)：973-977,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2017.06.017
大场景点云文件多核并行批量压缩方法研究
Research on Multi-core Parallel Batch Compression Method for Point Cloud Data Files in Large Scene
摘要
Abstract
In order to reduce the lossless compression time of the point cloud data files in large scene,avoid the time consuming and inputting errors caused by manual operation during data pro-cessing,this paper introduces LASzip lossless compression algorithm and the technology of OpenMP-based parallel computation,proposes a multi-core parallel batch compression algorithm for point cloud data files in large scene based on LASzip algorithm within the environment of the single machine of multi-core CPU.The experimental results show that compared with original se-rial algorithm,the parallel algorithm decreases obviously the compression time when the com-pression ratio is constant,achieving good speedup.The proposed optimization algorithm's com-pression and decompression time acceleration ratios reach 4.27 and 3.99,respectively,when 8 threads are used,the optimization effects are remarkable.关键词
点云文件/多核/OpenMP并行编程技术/LASzip无损压缩算法/并行批量压缩Key words
point cloud data files/multi-core/OpenMP-based parallel computation/LASzip lossless compression algorithm/parallel batch compression分类
信息技术与安全科学引用本文复制引用
樊星,段富,牛保宁..大场景点云文件多核并行批量压缩方法研究[J].太原理工大学学报,2017,48(6):973-977,5.基金项目
国家自然科学基金资助项目(61572345) （61572345）
国家科技支撑计划项目课题(2015BAH37F01) （2015BAH37F01）
