Interactive Visualization of Function Fields by Range-Space Segmentation

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dc.contributor.authorAnderson, John C.en_US
dc.contributor.authorGosink, Luke J.en_US
dc.contributor.authorDuchaineau, Mark A.en_US
dc.contributor.authorJoy, Ken I.en_US
dc.contributor.editorH.-C. Hege, I. Hotz, and T. Munzneren_US
dc.date.accessioned2014-02-21T19:50:21Z
dc.date.available2014-02-21T19:50:21Z
dc.date.issued2009en_US
dc.description.abstractWe present a dimension reduction and feature extraction method for the visualization and analysis of function field data. Function fields are a class of high-dimensional, multi-variate data in which data samples are onedimensional scalar functions. Our approach focuses upon the creation of high-dimensional range-space segmentations, from which we can generate meaningful visualizations and extract separating surfaces between features. We demonstrate our approach on high-dimensional spectral imagery, and particulate pollution data from air quality simulations.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01480.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleInteractive Visualization of Function Fields by Range-Space Segmentationen_US
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