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Feature Identification and Extraction in Function Fields

@inproceedings{Anderson:2007:FIA,
title="Feature Identification and Extraction in Function Fields",
booktitle="EuroVis 2007",
author="John C. Anderson AND Luke Gosink AND Mark A. Duchaineau AND Ken Joy ",
year="2007",
month=may,
url="http://graphics.cs.ucdavis.edu/~cobalt",
pages="195--201",
location="Norrköping, Sweden",
eventtime="May 23-25, 2007",
abstract="We present interactive techniques for identifying and extracting features in function fields. Function fields map points in $n$-dimensional Euclidean space to 1-dimensional scalar functions. Visual feature identification is accomplished by interactively rendering scalar distance fields, constructed by applying a function-space distance metric over the function field. Combining visual exploration with feature extraction queries, formulated as a set of function-space constraints, facilitates quantitative analysis and annotation. Numerous application domains give rise to function fields. We present results for two-dimensional hyperspectral images, and a simulated time-varying, three-dimensional air quality dataset.",
}
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