Title :
Research on algorithm of point cloud MapReduce registration
Author :
Liu, Song ; Xie, Xiaoyao
Author_Institution :
Key Lab. of Inf. & Comput. Sci., Guiyang, China
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;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
DOI :
10.1109/CCIS.2011.6045086
