DocumentCode
1812926
Title
Research on algorithm of point cloud MapReduce registration
Author
Liu, Song ; Xie, Xiaoyao
Author_Institution
Key Lab. of Inf. & Comput. Sci., Guiyang, China
fYear
2011
fDate
15-17 Sept. 2011
Firstpage
338
Lastpage
341
Abstract
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.
Keywords
computer graphics; parallel processing; pattern clustering; Hadoop cluster; ICP point cloud registration; iterative closest point; parallel computing; point cloud MapReduce registration; Algorithm design and analysis; Approximation algorithms; Approximation methods; Clustering algorithms; Data processing; Iterative closest point algorithm; Parallel processing; ICP; MapReduce; algorithm; point cloud; registration;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-61284-203-5
Type
conf
DOI
10.1109/CCIS.2011.6045086
Filename
6045086
Link To Document