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.
Description
@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}
}