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dc.contributor.authorGriffith, E. J.en_US
dc.contributor.authorPost, F. H.en_US
dc.contributor.authorKoutek, M.en_US
dc.contributor.authorHeus, T.en_US
dc.contributor.authorJonker, H. J. J.en_US
dc.contributor.editorErik Kjems and Roland Blachen_US
dc.date.accessioned2014-01-27T10:42:43Z
dc.date.available2014-01-27T10:42:43Z
dc.date.issued2005en_US
dc.identifier.isbn978-3-905674-06-4en_US
dc.identifier.issn1727-530Xen_US
dc.identifier.urihttp://dx.doi.org/10.2312/EGVE/IPT_EGVE2005/121-128en_US
dc.description.abstractFeature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that uses a combination of off-line preprocessing and interactive visualization in VR to simplify and speed up the identification of interesting features for further study. We couch the discussion in terms of our collaborative research on using virtual reality for cumulus cloud life-cycle studies, where selecting suitable clouds for study is simple for the skilled observer but difficult to formalize. The preprocessing involves identifying individual clouds within the data set through a 4D connected components algorithm, and then saving isosurface, bounding box, and volume information. This information is then interactively visualized in our VR Cloud Explorer with various tools and information displays to identify the most interesting clouds. In a small pilot study, reasonable performance, both in the preprocessing phase and the visualization phase, has been measured.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Virtual Reality and I.3.8 [Computer Graphics]: Applicationsen_US
dc.titleFeature Tracking in VR for Cumulus Cloud Life-Cycle Studiesen_US
dc.description.seriesinformationEurographics Symposium on Virtual Environmentsen_US


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