Isosurface Similarity Maps

Stefan Bruckner, Torsten Möller
Isosurface Similarity Maps
Computer Graphics Forum, 29(3):773-782, June 2010. [ Paper]
Content:

Information

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.

Additional Files and Images

Additional images and videos:
Video 1 Video 1: Interactive demonstration
Video 2 Video 2: Similarity-Enhanced Isosurface Visualization
Video 3 Video 3: Similarity-Based Isovalue Remapping. Left (blue): Conventional linear mapping. Right (red): Similarity-based mapping.
Additional files:
Paper
Paper





BibTeX

Download BibTeX-Entry
@article{bruckner-2010-ISM,
  title =      "Isosurface Similarity Maps",
  author =     "Stefan Bruckner and Torsten M{\"o}ller",
  year =       "2010",
  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.",
  pages =      "773--782",
  month =      jun,
  number =     "3",
  note =       "EuroVis 2010 Best Paper Award",
  event =      "EuroVis 2010",
  journal =    "Computer Graphics Forum",
  volume =     "29",
  location =   "Bordeaux, France",
  keywords =   "isosurfaces, volume visualization, mutual information,
               histograms",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2010/bruckner-2010-ISM/",
}