Importance-Driven Volume Rendering

Information

• Replaced by: Viola-2004-ImpX2
• Publication Type: Technical Report
• Workgroup(s)/Project(s):
  • ADAPT: Advanced Diagnosis, Analysis and Planning Tools (in Medicine)
• Date: April 2004
• Number: TR-186-2-04-03
• Keywords: volume rendering, view-dependent visualization, focus+context techniques, level-of-detail techniques, non-photorealistic techniques

Abstract

This paper introduces importance-driven volume rendering as a novel technique for automatic focus and context display of volumetric data. It 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. It determines which structures should be readily discernable 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 evel of sparseness specification and different ways how object importance can be composed to determine the final appearance of a particular object.

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BibTeX

@techreport{Viola-2004-ImpX,
  title =      "Importance-Driven Volume Rendering",
  author =     "Ivan Viola and Armin Kanitsar and 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. It 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. It determines which structures should be readily
               discernable 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 evel
               of sparseness specification and different ways how object
               importance can be composed to determine the final appearance
               of a particular object.",
  month =      apr,
  number =     "TR-186-2-04-03",
  address =    "Favoritenstrasse 9-11/E193-02, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology ",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  keywords =   "volume rendering, view-dependent visualization,
               focus+context techniques, level-of-detail techniques,
               non-photorealistic techniques",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2004/Viola-2004-ImpX/",
}