Progressive Volume Models for Rectilinear Data using Tetrahedral Coons Volumes

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dc.contributor.authorHolliday, David J.en_US
dc.contributor.authorNielson, Gregory M.en_US
dc.contributor.editorW. de Leeuw and R. van Liereen_US
dc.date.accessioned2014-01-30T06:41:34Z
dc.date.available2014-01-30T06:41:34Z
dc.date.issued2000en_US
dc.description.abstractWe present a new technique for modeling rectilinear volume data. The algorithm produces a trivariate model, F(x; y; z), which is piecewise defined over tetrahedra that fits the volume data to within a user specified tolerance. The technique is adaptive leading to an efficient model that is more complex where the data demands it. The novelty of the present technique is that a valid tetrahedrization is not required. Tetrahedral cells are subdivided as required by the error condition only. This type of cellular decomposition leads to a continuous model by the use of a tetrahedral Coons volume which has the ability to interpolate to arbitrary boundary data.en_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US
dc.identifier.isbn3211835156en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/VisSym00/083-092en_US
dc.publisherThe Eurographics Associationen_US
dc.titleProgressive Volume Models for Rectilinear Data using Tetrahedral Coons Volumesen_US
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