Information

Abstract

Focus+Context Visualization has been widely used in Information Visualization to emphasize important structures while at the same time providing an overview on the surrounding data. This principle can also be used in scientific visualization to illustrate small but important features or topological structures. In many visualizations topological structures are only displayed by themselves. They usually provide a rather sparse and highly abstract representation of the most important data characteristics. Focus+Context Visualization allows to also embed these sparse representations within the given original but dense data. How to avoid visual overload in this situation will be one topic of this paper. Our previous work in the area of focus+context visualization of features and topological structures will be shortly discussed. These approaches include: importance-driven volume rendering, multi-volume rendering, feature emphasis in direct volume illustration, the VesselGlyph as a Focus & Context Visualization in CT-Angiography, streamarrows, visualization of Poincaré Sections, real-time techniques for 3D flow visualization.

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BibTeX

@techreport{TR-186-2-05-07,
  title =      "Focus+Context Visualization of Features and Topological
               Structures",
  author =     "Ivan Viola and Eduard Gr\"{o}ller",
  year =       "2005",
  abstract =   "Focus+Context Visualization has been widely used in
               Information Visualization to emphasize important structures
               while at the same time providing an overview on the
               surrounding data. This principle can also be used in
               scientific visualization to illustrate small but important
               features or topological structures. In many visualizations
               topological structures are only displayed by themselves.
               They usually provide a rather sparse and highly abstract
               representation of the most important data characteristics.
               Focus+Context Visualization allows to also embed these
               sparse representations within the given original but dense
               data. How to avoid visual overload in this situation will be
               one topic of this paper. Our previous work in the area of
               focus+context visualization of features and topological
               structures will be shortly discussed. These approaches
               include: importance-driven volume rendering, multi-volume
               rendering, feature emphasis in direct volume illustration,
               the VesselGlyph as a Focus & Context Visualization in
               CT-Angiography, streamarrows, visualization of Poincar\'{e}
               Sections, real-time techniques for 3D flow visualization.",
  month =      sep,
  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",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2005/TR-186-2-05-07/",
}