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dc.contributor.authorRees, Dylanen_US
dc.contributor.authorLaramee, Robert S.en_US
dc.contributor.authorNguyen, Duongen_US
dc.contributor.authorZhang, Leien_US
dc.contributor.authorChen, Guoningen_US
dc.contributor.authorYeh, Harryen_US
dc.contributor.authorZhang, Eugeneen_US
dc.contributor.editorBarbora Kozlikova and Tobias Schreck and Thomas Wischgollen_US
dc.date.accessioned2017-06-12T05:20:01Z
dc.date.available2017-06-12T05:20:01Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-043-7
dc.identifier.urihttp://dx.doi.org/10.2312/eurovisshort.20171135
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurovisshort20171135
dc.description.abstractStreamline seeding algorithms have a long and rich history dating back over two decades. And in recent years algorithms for stream surface placement have been developed. However, stream ribbons have been generally overlooked. We present, to our knowledge, the first stream ribbon seeding strategy. Stream ribbons are a tool for visualizing vector fields and are a common extension of streamlines with the added benefit of conveying a fluid's twisting motion along the direction of flow. Presented in this short paper is a novel strategy for seeding stream ribbons in vector fields. The strategy exploits the flow's local helicity, an important property of flow identified over 40 years ago, to guide ribbon seeding. Seed points are prioritised based on a derived helicity field. A selection of user options including adjusting ribbon width, separating distance, and ribbon length filtering are applied to support visualization and cater to the users interests. A filtering method is also presented whereby the number of stream ribbons can be reduced in order to highlight the most helical flow features. We demonstrate the technique on various flow fields and report feedback from a domain expert in fluid mechanics.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectDisplay algorithm
dc.titleA Stream Ribbon Seeding Strategyen_US
dc.description.seriesinformationEuroVis 2017 - Short Papers
dc.description.sectionheadersTemporal, Flow and Hierarchy Visualization
dc.identifier.doi10.2312/eurovisshort.20171135
dc.identifier.pages67-71


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