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Isosurface Similarity Maps

Kurzbeschreibung

In this paper, we introduce the concept of isosurface similarity maps for the visualization of volume data. Isosurface similarity maps present structural information of a volume data set by depicting similarities between individual isosurfaces quantified by a robust information-theoretic measure. Unlike conventional histograms, they are not based on the frequency of isovalues and/or derivatives and therefore provide complementary information. We demonstrate that this new representation can be used to guide transfer function design and visualization parameter specification. Furthermore, we use isosurface similarity to develop an automatic parameter-free method for identifying representative isovalues. Using real-world data sets, we show that isosurface similarity maps can be a useful addition to conventional classification techniques.

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Zusatzinformationen

\bf Best Paper Award (48 out of 164 accepted; 15 citations)

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Autoren
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Supplemental Material
Referenz
Kategorie
Journal Paper
Institut
Visualization and Data Analysis
Journal or Publication Title
Computer Graphics Forum: the international journal of the Eurographics Association
ISSN
-
Seitenbereich
pp. 773-782
Nummer
3
Band
29
Datum
June 2010
Offizielle URL
http://www.cs.sfu.ca/~torsten/Publications/Papers/...
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Kontakt
Fakultät für Informatik
Universität Wien

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1090 Wien