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TitleInteractive Visualization of Function Fields by Range-Space Segmentation (Article)
inComputer Graphics Forum
Author(s) John C. Anderson, Luke Gosink, Mark A. Duchaineau, Ken Joy
Year June 2009
Volume28
Number3
Pages727--734
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Abstract We 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 one-dimensional 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.
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