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Isosurface Similarity Maps
Author(s) -
Bruckner Stefan,
Möller Torsten
Publication year - 2010
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2009.01689.x
Subject(s) - isosurface , computer science , visualization , similarity (geometry) , data visualization , set (abstract data type) , representation (politics) , histogram , data mining , similarity measure , function representation , data set , artificial intelligence , pattern recognition (psychology) , theoretical computer science , image (mathematics) , object (grammar) , politics , political science , law , programming language
In this paper, we introduce the concept of isosurface similarity maps for the visualization of volume data. Iso‐surface 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.