Feature Identification and Extraction in Function Fields
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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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 ac- complished 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.
Description
@inproceedings{:10.2312/VisSym/EuroVis07/195-201,
booktitle = {Eurographics/ IEEE-VGTC Symposium on Visualization},
editor = {K. Museth and T. Moeller and A. Ynnerman},
title = {{Feature Identification and Extraction in Function Fields}},
author = {Anderson, John C. and Gosink, Luke J. and Duchaineau, Mark A. and Joy, Kenneth I.},
year = {2007},
publisher = {The Eurographics Association},
ISSN = {1727-5296},
ISBN = {978-3-905673-45-6},
DOI = {/10.2312/VisSym/EuroVis07/195-201}
}