A Survey of Seed Placement and Streamline Selection Techniques

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dc.contributor.authorSane, Sudhanshuen_US
dc.contributor.authorBujack, Roxanaen_US
dc.contributor.authorGarth, Christophen_US
dc.contributor.authorChilds, Hanken_US
dc.contributor.editorSmit, Noeska and Oeltze-Jafra, Steffen and Wang, Beien_US
dc.date.accessioned2020-05-24T13:53:53Z
dc.date.available2020-05-24T13:53:53Z
dc.date.issued2020
dc.description.abstractStreamlines are an extensively utilized flow visualization technique for understanding, verifying, and exploring computational fluid dynamics simulations. One of the major challenges associated with the technique is selecting which streamlines to display. Using a large number of streamlines results in dense, cluttered visualizations, often containing redundant information and occluding important regions, whereas using a small number of streamlines could result in missing key features of the flow. Many solutions to select a representative set of streamlines have been proposed by researchers over the past two decades. In this state-of-the-art report, we analyze and classify seed placement and streamline selection (SPSS) techniques used by the scientific flow visualization community. At a high-level, we classify techniques into automatic and manual techniques, and further divide automatic techniques into three strategies: density-based, feature-based, and similarity-based. Our analysis evaluates the identified strategy groups with respect to focus on regions of interest, minimization of redundancy, and overall computational performance. Finally, we consider the application contexts and tasks for which SPSS techniques are currently applied and have potential applications in the future.en_US
dc.description.documenttypestar
dc.description.number3
dc.description.sectionheadersFlow Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.14036
dc.identifier.issn1467-8659
dc.identifier.pages785-809
dc.identifier.urihttps://doi.org/10.1111/cgf.14036
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14036
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/]
dc.subjectHuman
dc.subjectcentered computing → Scientific visualization
dc.titleA Survey of Seed Placement and Streamline Selection Techniquesen_US
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