Adapting Feature Curve Networks to a Prescribed Scale

dc.contributor.authorGehre, Anneen_US
dc.contributor.authorLim, Isaaken_US
dc.contributor.authorKobbelt, Leifen_US
dc.contributor.editorJoaquim Jorge and Ming Linen_US
dc.date.accessioned2016-04-26T08:38:32Z
dc.date.available2016-04-26T08:38:32Z
dc.date.issued2016en_US
dc.description.abstractFeature curves on surface meshes are usually defined solely based on local shape properties such as dihedral angles and principal curvatures. From the application perspective, however, the meaningfulness of a network of feature curves also depends on a global scale parameter that takes the distance between feature curves into account, i.e., on a coarse scale, nearby feature curves should be merged or suppressed if the surface region between them is not representable at the given scale/resolution. In this paper, we propose a computational approach to the intuitive notion of scale conforming feature curve networks where the density of feature curves on the surface adapts to a global scale parameter. We present a constrained global optimization algorithm that computes scale conforming feature curve networks by eliminating curve segments that represent surface features, which are not compatible to the prescribed scale. To demonstrate the usefulness of our approach we apply isotropic and anisotropic remeshing schemes that take our feature curve networks as input. For a number of example meshes, we thus generate high quality shape approximations at various levels of detail.en_US
dc.description.number2en_US
dc.description.sectionheadersCurves & Surfacesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12834en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages319-330en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12834en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectComputational Geometryen_US
dc.subjectDigital Geometry Processingen_US
dc.subjectLevel Of Detail Algorithmsen_US
dc.subjectFeature Curve Networksen_US
dc.titleAdapting Feature Curve Networks to a Prescribed Scaleen_US
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