{"title":"利用拟牛顿方法进行点云配准","authors":"A. Sharafutdinova, M. Bryn","doi":"10.22389/0016-7126-2023-992-2-2-11","DOIUrl":null,"url":null,"abstract":"\nThe method of point clouds registration using scanning points based on an iterative closest points’ algorithm is actively researched in the terrestrial laser scanning practice. One of this method’s tasks is calculating the datum transformation optimal values\n","PeriodicalId":35691,"journal":{"name":"Geodeziya i Kartografiya","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Point cloud registration using the quasi-Newton method\",\"authors\":\"A. Sharafutdinova, M. Bryn\",\"doi\":\"10.22389/0016-7126-2023-992-2-2-11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nThe method of point clouds registration using scanning points based on an iterative closest points’ algorithm is actively researched in the terrestrial laser scanning practice. One of this method’s tasks is calculating the datum transformation optimal values\\n\",\"PeriodicalId\":35691,\"journal\":{\"name\":\"Geodeziya i Kartografiya\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geodeziya i Kartografiya\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22389/0016-7126-2023-992-2-2-11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geodeziya i Kartografiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22389/0016-7126-2023-992-2-2-11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
Point cloud registration using the quasi-Newton method
The method of point clouds registration using scanning points based on an iterative closest points’ algorithm is actively researched in the terrestrial laser scanning practice. One of this method’s tasks is calculating the datum transformation optimal values