{"title":"The realization of B-spline surface reconstruction algorithm based on reverse control points","authors":"Lijuan Wu, Jianjun Wu, Liu Li","doi":"10.1109/CCDC.2017.7978281","DOIUrl":null,"url":null,"abstract":"Because of the good local modification of the B spline curve, it is widely used to reconstruct the B-spline surface in reverse engineering. A algorithm of reconstructing quasi-uniform B-spline surface is designed based on optimization quadrilateral meshes of the cloud data model by reverse control points in the paper, and the definite basic concepts, solve the data points selection, nodes parameterization, chasing method solve the control points equation, etc. In VS++2008 environment, the algorithm was programmed and debugged with C++ language, and the running results are given. The implementation of the algorithm showed its feasibility and reliability, as well as the advantages of high speed and high accuracy.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"15 1","pages":"6173-6177"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7978281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Because of the good local modification of the B spline curve, it is widely used to reconstruct the B-spline surface in reverse engineering. A algorithm of reconstructing quasi-uniform B-spline surface is designed based on optimization quadrilateral meshes of the cloud data model by reverse control points in the paper, and the definite basic concepts, solve the data points selection, nodes parameterization, chasing method solve the control points equation, etc. In VS++2008 environment, the algorithm was programmed and debugged with C++ language, and the running results are given. The implementation of the algorithm showed its feasibility and reliability, as well as the advantages of high speed and high accuracy.
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