{"title":"Three-dimensional alpha shapes","authors":"H. Edelsbrunner, Ernst P. Mücke","doi":"10.1145/147130.147153","DOIUrl":null,"url":null,"abstract":"Frequently, data in scientific computing is in its abstract form a finite point set in space, and it is sometimes useful or required to compute what one might call the “shape” of the set. For that purpose this paper introduces the formal notion of the family of r-x-shapes of a finite point set in IR3. Each shape is a polytope, derived from the Delaunay triangulation of the point set, with a parameter cy E R controlling the desired level of detail. An algorithm is presented that constructs the entire family of shapes for a given set of size n in worst-case time O(n’). A robust implementation of the algorithm is discussed and seveml applications in the area of scientific computing are mentioned.","PeriodicalId":20479,"journal":{"name":"Proceedings of the 1992 workshop on Volume visualization","volume":"PP 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"1992-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"817","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1992 workshop on Volume visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/147130.147153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 817
Abstract
Frequently, data in scientific computing is in its abstract form a finite point set in space, and it is sometimes useful or required to compute what one might call the “shape” of the set. For that purpose this paper introduces the formal notion of the family of r-x-shapes of a finite point set in IR3. Each shape is a polytope, derived from the Delaunay triangulation of the point set, with a parameter cy E R controlling the desired level of detail. An algorithm is presented that constructs the entire family of shapes for a given set of size n in worst-case time O(n’). A robust implementation of the algorithm is discussed and seveml applications in the area of scientific computing are mentioned.
通常,科学计算中的数据是抽象形式的空间中的有限点集,有时计算集合的“形状”是有用的或需要的。为此,本文引入了IR3中有限点集的r-x形族的形式化概念。每个形状都是一个多面体,从点集的Delaunay三角剖分中得到,参数cy E R控制所需的细节水平。提出了一种算法,在最坏情况下,在O(n ')时间内,对给定大小为n的集合,构造出整个形状族。讨论了该算法的鲁棒实现,并提到了该算法在科学计算领域的几个应用。