{"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}
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.