Over Two Decades of Integration-Based, Geometric Flow Visualization

dc.contributor.authorMcLoughlin, Tonyen_US
dc.contributor.authorLaramee, Robert S.en_US
dc.contributor.authorPeikert, Ronalden_US
dc.contributor.authorPost, Frits H.en_US
dc.contributor.authorChen, Minen_US
dc.date.accessioned2015-02-23T09:40:41Z
dc.date.available2015-02-23T09:40:41Z
dc.date.issued2010en_US
dc.description.abstractWith ever increasing computing power, it is possible to process ever more complex fluid simulations. However, a gap between data set sizes and our ability to visualize them remains. This is especially true for the field of flow visualization, which deals with large, time-dependent, multivariate simulation data sets. In this paper, geometry-based flow visualization techniques form the focus of discussion. Geometric flow visualization methods place discrete objects in the velocity field whose characteristics reflect the underlying properties of the flow. A great amount of progress has been made in this field over the last two decades. However, a number of challenges remain, including placement, speed of computation and perception. In this survey, we review and classify geometric flow visualization literature according to the most important challenges when considering such a visualization, a central theme being the seeding algorithm upon which they are based. This paper details our investigation into these techniques with discussions on their applicability and their relative merits and drawbacks. The result is an up-to-date overview of the current state-of-the-art that highlights both solved and unsolved problems in this rapidly evolving branch of research. It also serves as a concise introduction to the field of flow visualization research.en_US
dc.description.documenttypestar
dc.description.number6en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume29en_US
dc.identifier.doi10.1111/j.1467-8659.2010.01650.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1807-1829en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2010.01650.xen_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/CGF.v29i6pp1807-1829
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleOver Two Decades of Integration-Based, Geometric Flow Visualizationen_US
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