使用不同类型的元素检测和表示基于八叉树的网格中的尖锐特征

Cristopher Arenas, C. Lobos
{"title":"使用不同类型的元素检测和表示基于八叉树的网格中的尖锐特征","authors":"Cristopher Arenas, C. Lobos","doi":"10.1109/SCCC.2018.8705249","DOIUrl":null,"url":null,"abstract":"Octree–based meshing techniques generate volume meshes using a surface mesh that describe a geometric domain as input. Sometimes, the domain that will be represented has regions with sharp features, and its representation on the output mesh is an open challenge. In this work, we present an extension for a mixed– element meshing technique based in octree, that realizes proper detection of sharp features and uses different types of elements for representation of them. We compare the original algorithm with our proposal, reducing the total number of elements of the mesh and improving the average quality of the resulting meshes.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Detection and representation of sharp features in octree–based meshes using different types of elements\",\"authors\":\"Cristopher Arenas, C. Lobos\",\"doi\":\"10.1109/SCCC.2018.8705249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Octree–based meshing techniques generate volume meshes using a surface mesh that describe a geometric domain as input. Sometimes, the domain that will be represented has regions with sharp features, and its representation on the output mesh is an open challenge. In this work, we present an extension for a mixed– element meshing technique based in octree, that realizes proper detection of sharp features and uses different types of elements for representation of them. We compare the original algorithm with our proposal, reducing the total number of elements of the mesh and improving the average quality of the resulting meshes.\",\"PeriodicalId\":235495,\"journal\":{\"name\":\"2018 37th International Conference of the Chilean Computer Science Society (SCCC)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 37th International Conference of the Chilean Computer Science Society (SCCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SCCC.2018.8705249\",\"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 37th International Conference of the Chilean Computer Science Society (SCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCCC.2018.8705249","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

基于八叉树的网格划分技术使用描述几何域的表面网格作为输入生成体网格。有时,要表示的域具有明显特征的区域,其在输出网格上的表示是一个开放的挑战。本文提出了一种基于八叉树的混合元素网格划分技术的扩展,实现了对尖锐特征的适当检测,并使用不同类型的元素来表示它们。我们将原始算法与我们的建议进行了比较,减少了网格的总元素数量,提高了所得网格的平均质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and representation of sharp features in octree–based meshes using different types of elements
Octree–based meshing techniques generate volume meshes using a surface mesh that describe a geometric domain as input. Sometimes, the domain that will be represented has regions with sharp features, and its representation on the output mesh is an open challenge. In this work, we present an extension for a mixed– element meshing technique based in octree, that realizes proper detection of sharp features and uses different types of elements for representation of them. We compare the original algorithm with our proposal, reducing the total number of elements of the mesh and improving the average quality of the resulting meshes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信