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dc.contributor.authorKindlmann, Gordon L.en_US
dc.contributor.authorChiw, Chariseeen_US
dc.contributor.authorHuynh, Trien_US
dc.contributor.authorGyulassy, Attilaen_US
dc.contributor.authorReppy, Johnen_US
dc.contributor.authorBremer, Peer-Timoen_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.description.abstractVisualizing and extracting three-dimensional features is important for many computational science applications, each with their own feature definitions and data types. While some are simple to state and implement (e.g. isosurfaces), others require more complicated mathematics (e.g. multiple derivatives, curvature, eigenvectors, etc.). Correctly implementing mathematical definitions is difficult, so experimenting with new features requires substantial investments. Furthermore, traditional interpolants rarely support the necessary derivatives, and approximations can reduce numerical stability. Our new approach directly translates mathematical notation into practical visualization and feature extraction, with minimal mental and implementation overhead. Using a mathematically expressive domain-specific language, Diderot, we compute direct volume renderings and particlebased feature samplings for a range of mathematical features. Non-expert users can experiment with feature definitions without any exposure to meshes, interpolants, derivative computation, etc. We demonstrate high-quality results on notoriously difficult features, such as ridges and vortex cores, using working code simple enough to be presented in its entirety.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts Computing methodologies
dc.subjectScientific visualization
dc.subjectSoftware and its engineering
dc.subjectDomain specific languages
dc.subjectcentered computing
dc.subjectVisualization systems and tools
dc.titleRendering and Extracting Extremal Features in 3D Fieldsen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersScalar Fields

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  • 37-Issue 3
    EuroVis 2018 - Conference Proceedings

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