Particle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualization

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dc.contributor.authorKratz, Andreaen_US
dc.contributor.authorKettlitz, Ninoen_US
dc.contributor.authorHotz, Ingriden_US
dc.contributor.editorPeter Eisert and Joachim Hornegger and Konrad Polthieren_US
dc.date.accessioned2013-10-31T11:48:41Z
dc.date.available2013-10-31T11:48:41Z
dc.date.issued2011en_US
dc.description.abstractWe present a particle-based approach to generate unstructured distributions of elliptical samples. Size and shape of the samples are determined by a local metric that is derived from a two-dimensional tensor field. In contrast to previous methods, we propose the use of an anisotropic Delaunay triangulation of particle positions. It guarantees exact neighbor computations and provides a good means for an explicit and automatic control of prominent holes and overlaps, which otherwise would result in unpleasant visualizations. We use the final distribution to compute a generalized Voronoi diagram, which represents a novel and flexible visualization technique for two-dimensional tensor fields. Via texturing of Voronoi regions, many possibilities arise to design the final image.en_US
dc.description.seriesinformationVision, Modeling, and Visualization (2011)en_US
dc.identifier.isbn978-3-905673-85-2en_US
dc.identifier.urihttps://doi.org/10.2312/PE/VMV/VMV11/145-152en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation-Line and curve generationen_US
dc.titleParticle-Based Anisotropic Sampling for Two-Dimensional Tensor Field Visualizationen_US
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