Interactive Visualization of Function Fields by Range-Space Segmentation

• Published in: Computer graphics forum Vol. 28; no. 3; pp. 727 - 734
• Main Authors: Anderson, John C., Gosink, Luke J., Duchaineau, Mark A., Joy, Kenneth I.
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01-06-2009
• Subjects: Airborne particulates; Computer graphics; Computer Graphics [I.3.6]: Methodology and Techniques; Studies; Visualization
• ISSN: 0167-7055; 1467-8659
• DOI: 10.1111/j.1467-8659.2009.01480.x

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.