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dc.contributor.authorTong, Xinen_US
dc.contributor.authorZhang, Huijieen_US
dc.contributor.authorJacobsen, Chrisen_US
dc.contributor.authorShen, Han-Weien_US
dc.contributor.authorMcCormick, Patricken_US
dc.contributor.editorEnrico Bertini and Niklas Elmqvist and Thomas Wischgollen_US
dc.date.accessioned2016-06-09T09:42:23Z
dc.date.available2016-06-09T09:42:23Z
dc.date.issued2016en_US
dc.identifier.isbn978-3-03868-014-7en_US
dc.identifier.issn-en_US
dc.identifier.urihttp://dx.doi.org/10.2312/eurovisshort.20161154en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.description.abstractHigh resolution simulations are capable of generating very large vector fields that are expensive to store and analyze. In ad- dition, the velocity fields generated from some particle simulations are not stored on spatial grids, which become difficult to visualize using some traditional vector field visualization methods such as streamlines. Furthermore, the noise and/or uncer- tainty contained in the data often affects the quality of visualization by producing visual clutter that interferes with both the interpretation and identification of important features. An alternative approach is to store the distribution of many vector ori- entations and visualize the distribution with 3D glyphs. This paper presents the cube map histogram, a new data structure for storing the distribution of three-dimensional vector directions. We also present a glyph called the crystal glyph that effectively visualizes the directional distribution using OpenGL cube map textures. By placing crystal glyphs in the 3D data space, users can identify the directional distribution of the regional vector field from the shape and color of the glyph without visual clutter.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.titleCrystal Glyph: Visualization of Directional Distributions Based on the Cube Mapen_US
dc.description.seriesinformationEuroVis 2016 - Short Papersen_US
dc.description.sectionheadersFlow Visualizationen_US
dc.identifier.doi10.2312/eurovisshort.20161154en_US
dc.identifier.pages13-17en_US


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