Importance-Driven Volume Rendering

Ivan Viola, Armin Kanitsar, Meister Eduard Gröller
Importance-Driven Volume Rendering
In Proceedings of IEEE Visualization 2004, pages 139-145. October 2004.
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Abstract

This paper introduces importance-driven volume rendering as a novel technique for automatic focus and context display of volumetric data. Our technique is a generalization of cut-away views, which – depending on the viewpoint – remove or suppress less important parts of a scene to reveal more important underlying information. We automatize and apply this idea to volumetric data. Each part of the volumetric data is assigned an object importance which encodes visibility priority. This property determines which structures should be readily discernible and which structures are less important. In those image regions, where an object occludes more important structures it is displayed more sparsely than in those areas where no occlusion occurs. Thus the objects of interest are clearly visible. For each object several representations, i.e., levels of sparseness, are specified. The display of an individual object may incorporate different levels of sparseness. The goal is to emphasize important structures and to maximize the information content in the final image. This paper also discusses several possible schemes for level of sparseness specification and different ways how object importance can be composited to determine the final appearance of a particular object.

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@inproceedings{Viola-2004-ImpX2,
  title =      "Importance-Driven Volume Rendering",
  author =     "Ivan Viola and Armin Kanitsar and Meister Eduard
               Gr{\"o}ller",
  year =       "2004",
  abstract =   "This paper introduces importance-driven volume rendering as
               a novel technique for automatic focus and context display of
               volumetric data. Our technique is a generalization of
               cut-away views, which – depending on the viewpoint
               – remove or suppress less important parts of a scene
               to reveal more important underlying information. We
               automatize and apply this idea to volumetric data. Each part
               of the volumetric data is assigned an object importance
               which encodes visibility priority. This property determines
               which structures should be readily discernible and which
               structures are less important. In those image regions, where
               an object occludes more important structures it is displayed
               more sparsely than in those areas where no occlusion occurs.
               Thus the objects of interest are clearly visible. For each
               object several representations, i.e., levels of sparseness,
               are specified. The display of an individual object may
               incorporate different levels of sparseness. The goal is to
               emphasize important structures and to maximize the
               information content in the final image. This paper also
               discusses several possible schemes for level of sparseness
               specification and different ways how object importance can
               be composited to determine the final appearance of a
               particular object.",
  pages =      "139--145",
  month =      oct,
  booktitle =  "Proceedings of IEEE Visualization 2004",
  isbn =       "0780387880",
  publisher =  "H. Rushmeier, G. Turk, J. van Wijk",
  keywords =   "view-dependent visualization, non-photorealistic techniques,
               level-of-detail techniques, focus+context techniques, volume
               rendering",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX2/",
}