Research on Fast Loading Large Scale Point Cloud Data File

被引：0
|
作者：
Zhang, Jiansheng [1 ]
机构：
[1] Southwest Univ Sci & Technol, Sch Mfg Sci & Engn, Mianyang 621010, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, ICICA 2013, PT I | 2013年 / 391卷
关键词：
Point Cloud; Fast Loading; Large Scale; Memory Pre-allocation; Multiple-point Concurrency Writing;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
To meet the requirement of fast loading large scale point could data file, proposed a new method based on memory pre-allocation and multiple-point concurrency writing technologies which depend on thread pool and memory mapping file mechanism under Windows platform. Test result shows that the new method based on memory pre-allocation and multiple-point concurrency writing technologies improve the performance of loading large-scale point-could data file notably with 220%similar to 300% in loading efficiency, and along with the file size increment, the extra loading time caused by the method is the least compared with the other three methods.
引用
收藏
页码：398 / 406
页数：9
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