Multidimensional particle swarm optimization-based unsupervised planar segmentation algorithm of unorganized point clouds
点击次数:
发布时间:2025-04-30
发布时间:2025-04-30
论文名称:Multidimensional particle swarm optimization-based unsupervised planar segmentation algorithm of unorganized point clouds
发表刊物:Pattern Recognition
摘要:This paperpresentsanunsupervisedplanarsegmentationalgorithmofunorganizedpointcloudsbased
on multidimensional(MD)particleswarmoptimization(PSO).Arobustobjectivefunctionofthe
unsupervisedplanarsegmentationisestablishedaccordingtoclusteringdistancesofPSOclustering
algorithmandinliersofrandomsampleconsensus(RANSAC)method.Afterthat,MDPSOalgorithmis
adoptedtooptimizetheobjectivefunction,wheretheoptimalnumberandpositionsofthesegmented
planarpatchesaresoughtsimultaneously.Inordernottogettrappedinlocaloptima,amodification
strategy oftheglobalbest(GB)positionofswarmineachdimensionisaddedtotheMDPSOalgorithm.
Thus theunsupervisedplanarsegmentationofpointcloudsisrealized.Experimentalresultsdemon-
strate thehighplanarsegmentationaccuracyoftheproposedalgorithm.
合写作者:Wang Lin, Cao Jianfu, Han Chongzhao
卷号:45(11)
页面范围:4034-4043
是否译文:否
发表时间:2012-11-10

