Interactive Visualization of Function Fields by Range-Space Segmentation

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Date
2009
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd.
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 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.
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@article{
10.1111:j.1467-8659.2009.01480.x
, journal = {Computer Graphics Forum}, title = {{
Interactive Visualization of Function Fields by Range-Space Segmentation
}}, author = {
Anderson, John C.
and
Gosink, Luke J.
and
Duchaineau, Mark A.
and
Joy, Ken I.
}, year = {
2009
}, publisher = {
The Eurographics Association and Blackwell Publishing Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/j.1467-8659.2009.01480.x
} }
Citation