Robust Extraction and Simplification of 2D Symmetric Tensor Field Topology

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dc.contributor.authorJankowai, Jochenen_US
dc.contributor.authorWang, Beien_US
dc.contributor.authorHotz, Ingriden_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.date.accessioned2019-06-02T18:27:58Z
dc.date.available2019-06-02T18:27:58Z
dc.date.issued2019
dc.description.abstractIn this work, we propose a controlled simplification strategy for degenerated points in symmetric 2D tensor fields that is based on the topological notion of robustness. Robustness measures the structural stability of the degenerate points with respect to variation in the underlying field. We consider an entire pipeline for generating a hierarchical set of degenerate points based on their robustness values. Such a pipeline includes the following steps: the stable extraction and classification of degenerate points using an edge labeling algorithm, the computation and assignment of robustness values to the degenerate points, and the construction of a simplification hierarchy. We also discuss the challenges that arise from the discretization and interpolation of real world data.en_US
dc.description.number3
dc.description.sectionheadersHigher-Order Data Types
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume38
dc.identifier.doi10.1111/cgf.13693
dc.identifier.issn1467-8659
dc.identifier.pages337-349
dc.identifier.urihttps://doi.org/10.1111/cgf.13693
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13693
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectScientific visualization
dc.subjectComputing methodologies
dc.subjectScientific visualization
dc.titleRobust Extraction and Simplification of 2D Symmetric Tensor Field Topologyen_US
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