Salient Representation of Volume Data

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• Publication Type: Technical Report
• Keywords: Gradient vector, Hessian matrix, Feature Extraction, Sufrace Extraction, Volume Rendering

@techreport\{Hladuvka-2000-Exp,
  title =      "Salient Representation of Volume Data",
  author =     "Ji{\v r}{\' i} Hlad{\r u}vka and Meister Eduard
               Gr{\"o}ller",
  year =       "2000",
  abstract =   "We introduce a novel approach for identification of objects
               of interest in volume data. Our approach tries to convey the
               information contained in two essentially different concepts,
               the object's boundaries and the narrow solid structures, in
               an easy and uniform way. The second order derivative
               operators in directions reaching minimal response are
               involved for this task. To show the superior performance of
               our method, we provide a comparison to its main competitor
               -- surface extraction from areas of maximal gradient
               magnitude. We show that our approach provides the
               possibility to represent volume data by its subset          
                     of a nominal size.",
  address =    "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
  institution = "Institute of Computer Graphics and Algorithms, Vienna
               University of Technology",
  note =       "human contact: technical-report@cg.tuwien.ac.at",
  month =      dec,
  number =     "TR-186-2-00-26",
  keywords =   "Gradient vector, Hessian matrix, Feature Extraction, Sufrace
               Extraction, Volume Rendering",
  URL =        "http://www.cg.tuwien.ac.at/research/publications/2000/Hladuvka-2000-Exp/",
}