RESEARCH ON ALGORITHM OF POINT CLOUD MAPREDUCE REGISTRATION

被引：0
|
作者：
Liu, Song [1 ,2 ]
Xie, Xiaoyao [1 ,2 ]
机构：
[1] Key Lab Informat & Comp Sci, Guiyang, Peoples R China
[2] Guizhou Univ, Coll Comp Sci & Informat, Guiyang, Peoples R China
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTELLIGENCE SYSTEMS | 2011年
关键词：
point cloud; registration; MapReduce; ICP; algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An improved algorithm of point cloud ICP registration base on MapReduce is proposed. This method applies parallel computing of MapReduce to registration of point cloud in order to reduce the requirements of computing and improve the efficiency of computing. At last, the results of three examples running on a Hadoop cluster show that the efficiency of registration has been improved and the results achieve the expectant target.
引用
收藏
页码：338 / 341
页数：4
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