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Isosurface Similarity Maps

Stefan Bruckner, Torsten Möller

JOURNAL ARTICLE: Computer Graphics Forum, vol. 29, no. 3, pp. 773–782, 2010. EuroVis 2010 Best Paper Award. DOI: 10.1111/j.1467-8659.2009.01689.x

Abstract

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.

Published

Computer Graphics Forum

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BibTeX

@ARTICLE{Bruckner-2010-ISM,
  author = {Stefan Bruckner and Torsten M{\"o}ller},
  title = {Isosurface Similarity Maps},
  journal = {Computer Graphics Forum},
  year = {2010},
  volume = {29},
  pages = {773--782},
  number = {3},
  month = jun,
  note = {EuroVis 2010 Best Paper Award},
  abstract = {In this paper, we introduce the concept of isosurface similarity maps
	for the visualization of volume data. Isosurface similarity maps
	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.},
  doi = {10.1111/j.1467-8659.2009.01689.x},
  event = {EuroVis 2010},
  keywords = {isosurfaces, volume visualization, mutual information, histograms},
  location = {Bordeaux, France},
  url = {http://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/}
}






 Last Modified: Stefan Bruckner, 2014-09-22