Cost Minimizing Local Anisotropic Quad Mesh Refinement

dc.contributor.authorLyon, Maxen_US
dc.contributor.authorBommes, Daviden_US
dc.contributor.authorKobbelt, Leifen_US
dc.contributor.editorJacobson, Alec and Huang, Qixingen_US
dc.date.accessioned2020-07-05T13:26:15Z
dc.date.available2020-07-05T13:26:15Z
dc.date.issued2020
dc.description.abstractQuad meshes as a surface representation have many conceptual advantages over triangle meshes. Their edges can naturally be aligned to principal curvatures of the underlying surface and they have the flexibility to create strongly anisotropic cells without causing excessively small inner angles. While in recent years a lot of progress has been made towards generating high quality uniform quad meshes for arbitrary shapes, their adaptive and anisotropic refinement remains difficult since a single edge split might propagate across the entire surface in order to maintain consistency. In this paper we present a novel refinement technique which finds the optimal trade-off between number of resulting elements and inserted singularities according to a user prescribed weighting. Our algorithm takes as input a quad mesh with those edges tagged that are prescribed to be refined. It then formulates a binary optimization problem that minimizes the number of additional edges which need to be split in order to maintain consistency. Valence 3 and 5 singularities have to be introduced in the transition region between refined and unrefined regions of the mesh. The optimization hence computes the optimal trade-off and places singularities strategically in order to minimize the number of consistency splits —- or avoids singularities where this causes only a small number of additional splits. When applying the refinement scheme iteratively, we extend our binary optimization formulation such that previous splits can be undone if this prevents degenerate cells with small inner angles that otherwise might occur in anisotropic regions or in the vicinity of singularities. We demonstrate on a number of challenging examples that the algorithm performs well in practice.en_US
dc.description.number5
dc.description.sectionheadersMeshing
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14076
dc.identifier.issn1467-8659
dc.identifier.pages163-172
dc.identifier.urihttps://doi.org/10.1111/cgf.14076
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14076
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectComputing methodologies
dc.subjectMesh models
dc.subjectMesh geometry models
dc.titleCost Minimizing Local Anisotropic Quad Mesh Refinementen_US
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