Dissertation/Thesis Abstract

Scientific visualization techniques for volume fraction data and function fields
by Anderson, John Carl, Ph.D., University of California, Davis, 2009, 84; 3369921
Abstract (Summary)

While the scientific visualization community is comfortable with isosurfacing and volume rendering of scalar fields, data from simulations and sensors often have additional constraints or dimensions that are not easily handled by these algorithms. In the first part of this dissertation we consider volume fraction data and the material interface reconstruction problem, for which existing isosurfacing and segmentation methods do not produce satisfactory results. Optimization-based methods are introduced that produce accurate multimaterial segmenting surfaces through volume fraction data. In the second part, we discuss visualization techniques for function fields. A dimension reduction approach based upon probing and range-space segmentation is introduced, allowing function fields to be analyzed with traditional visualization algorithms. Finally, queries are considered for explicit feature extraction.

Indexing (document details)
Advisor: Joy, Kenneth I.
Commitee: Amenta, Nina, Duchaineau, Mark A.
School: University of California, Davis
Department: Computer Science
School Location: United States -- California
Source: DAI-B 70/08, Dissertation Abstracts International
Subjects: Computer science
Keywords: Function fields, Material interface reconstruction, Scientific visualization, Volume fraction, Volume of fluid
Publication Number: 3369921
ISBN: 9781109326222
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