{"title":"Reversely Anisotropic Quad-dominant Remeshing","authors":"Weipeng Zhu, Chengying Gao, Xiaonan Luo, Ning Liu","doi":"10.1109/SMI.2010.38","DOIUrl":null,"url":null,"abstract":"In this paper we proposed an anisotropic quad-dominant remeshing algorithm suitable for meshes of arbitrary topology. It takes a novel approach to the challenging problem of constructing high-quality quad-dominant mesh with anisotropic sampling. The method based on exploiting and analyzing principal curvature lines of the surface, which aimed to improve mesh structure and efficiency. Connectivity optimized is guaranteed by the natural orthogonality of principal curvature lines and geometric shape is maintained by minimizing the Hausdorff distance between original mesh and resulting mesh. The technique is straightforward to implement and efficient enough to be applied to real-world models. It can flexibly produce quad-dominant meshes ranging from dense to coarse.","PeriodicalId":404708,"journal":{"name":"2010 Shape Modeling International Conference","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Shape Modeling International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMI.2010.38","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper we proposed an anisotropic quad-dominant remeshing algorithm suitable for meshes of arbitrary topology. It takes a novel approach to the challenging problem of constructing high-quality quad-dominant mesh with anisotropic sampling. The method based on exploiting and analyzing principal curvature lines of the surface, which aimed to improve mesh structure and efficiency. Connectivity optimized is guaranteed by the natural orthogonality of principal curvature lines and geometric shape is maintained by minimizing the Hausdorff distance between original mesh and resulting mesh. The technique is straightforward to implement and efficient enough to be applied to real-world models. It can flexibly produce quad-dominant meshes ranging from dense to coarse.