{"title":"基于半径约束的空间圆拟合算法及其在样条装配中的应用研究","authors":"Yongjian Zhu, Hao Lan, Xi Zhang","doi":"10.1109/icomssc45026.2018.8941776","DOIUrl":null,"url":null,"abstract":"Spatial circle fitting plays an important role in visual positioning. In this paper, the edge extraction algorithm and the spatial circle fitting algorithm based on radius constraints are studied according to the fact that the size of the spline to be detected is so large and only part of the contour can be taken. Experimental results show that the algorithm has high accuracy.","PeriodicalId":332213,"journal":{"name":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Spatial Circle Fitting Algorithm Based on Radius Constraint and its Application in Spline Assembly\",\"authors\":\"Yongjian Zhu, Hao Lan, Xi Zhang\",\"doi\":\"10.1109/icomssc45026.2018.8941776\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Spatial circle fitting plays an important role in visual positioning. In this paper, the edge extraction algorithm and the spatial circle fitting algorithm based on radius constraints are studied according to the fact that the size of the spline to be detected is so large and only part of the contour can be taken. Experimental results show that the algorithm has high accuracy.\",\"PeriodicalId\":332213,\"journal\":{\"name\":\"2018 International Computers, Signals and Systems Conference (ICOMSSC)\",\"volume\":\"148 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Computers, Signals and Systems Conference (ICOMSSC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icomssc45026.2018.8941776\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Computers, Signals and Systems Conference (ICOMSSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icomssc45026.2018.8941776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Spatial Circle Fitting Algorithm Based on Radius Constraint and its Application in Spline Assembly
Spatial circle fitting plays an important role in visual positioning. In this paper, the edge extraction algorithm and the spatial circle fitting algorithm based on radius constraints are studied according to the fact that the size of the spline to be detected is so large and only part of the contour can be taken. Experimental results show that the algorithm has high accuracy.