{"title":"Research on algorithm of point cloud MapReduce registration","authors":"Song Liu, Xiao Xie","doi":"10.1109/CCIS.2011.6045086","DOIUrl":null,"url":null,"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.","PeriodicalId":128504,"journal":{"name":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE International Conference on Cloud Computing and Intelligence Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCIS.2011.6045086","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
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.
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