{"title":"A Point Cloud Registration Algorithm Based on Improved Particle Swarm Optimization","authors":"传烁 王","doi":"10.12677/gst.2023.113035","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that the FPFH-ICP algorithm has many empirical parameters and it is difficult to obtain the optimal registration parameters by manual adjustment to achieve the optimal registration accuracy","PeriodicalId":62247,"journal":{"name":"测绘科学技术","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"测绘科学技术","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12677/gst.2023.113035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Aiming at the problem that the FPFH-ICP algorithm has many empirical parameters and it is difficult to obtain the optimal registration parameters by manual adjustment to achieve the optimal registration accuracy