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Isosurface Similarity Maps

S. Bruckner and T. Möller

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.

S. Bruckner and T. Möller, "Isosurface Similarity Maps," Computer Graphics Forum, vol. 29, iss. 3, p. 773–782, 2010. doi:10.1111/j.1467-8659.2009.01689.x
[BibTeX]

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.
@ARTICLE {Bruckner-2010-ISM,
author = "Stefan Bruckner and Torsten M{\"o}ller",
title = "Isosurface Similarity Maps",
journal = "Computer Graphics Forum",
year = "2010",
volume = "29",
number = "3",
pages = "773--782",
month = "jun",
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.",
pdf = "pdfs/Bruckner-2010-ISM.pdf",
images = "images/Bruckner-2010-ISM.jpg",
thumbnails = "images/Bruckner-2010-ISM.png",
youtube = "https://www.youtube.com/watch?v=NZFqx4QceCA,https://www.youtube.com/watch?v=kQO8fTJJxVg,https://www.youtube.com/watch?v=KDIbmfOAW00",
note = "EuroVis 2010 Best Paper Award",
affiliation = "tuwien",
doi = "10.1111/j.1467-8659.2009.01689.x",
event = "EuroVis 2010",
keywords = "isosurfaces, volume visualization, mutual information, histograms",
location = "Bordeaux, France",
url = "//www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/"
}
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