Interactive Visualization of Function Fields by Range-Space Segmentation
dc.contributor.author | Anderson, John C. | en_US |
dc.contributor.author | Gosink, Luke J. | en_US |
dc.contributor.author | Duchaineau, Mark A. | en_US |
dc.contributor.author | Joy, Ken I. | en_US |
dc.contributor.editor | H.-C. Hege, I. Hotz, and T. Munzner | en_US |
dc.date.accessioned | 2014-02-21T19:50:21Z | |
dc.date.available | 2014-02-21T19:50:21Z | |
dc.date.issued | 2009 | en_US |
dc.description.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. | en_US |
dc.description.number | 3 | en_US |
dc.description.seriesinformation | Computer Graphics Forum | en_US |
dc.description.volume | 28 | en_US |
dc.identifier.doi | 10.1111/j.1467-8659.2009.01480.x | en_US |
dc.identifier.issn | 1467-8659 | en_US |
dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2009.01480.x | en_US |
dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
dc.title | Interactive Visualization of Function Fields by Range-Space Segmentation | en_US |