Information

Abstract

Interactive visualization is widely used in many applications for efficient representation of complex data. Many techniques make use of the focus+context approach in a static manner. These techniques do not fully make use of the interaction semantics. In this paper we present a dynamic focus+context approach that highlights salient features during user interaction. We explore rotation, panning, and zooming interaction semantics and propose several methods of changing visual representations, based on a suggested engagement-estimation method. We use DVR-MIP interpolation and a radial opacity-change approach, exploring rotation, panning, and zooming semantics. Our approach adds short animations during user interaction that help to explore the data efficiently and aid the user in the detection of unknown features.

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BibTeX

@WorkshopTalk{sikachev_peter-2011-dfc,
  title =      "Dynamic Focus + Context for Volume Rendering",
  author =     "Peter Sikachev and Peter Rautek and Stefan Bruckner and
               Meister Eduard Gr{"o}ller",
  year =       "2011",
  abstract =   "Interactive visualization is widely used in many
               applications for efficient representation of complex data.
               Many techniques make use of the focus+context approach in a
               static manner. These techniques do not fully make use of the
               interaction semantics. In this paper we present a dynamic
               focus+context approach that highlights salient features
               during user interaction. We explore rotation, panning, and
               zooming interaction semantics and propose several methods of
               changing visual representations, based on a suggested
               engagement-estimation method. We use DVR-MIP interpolation
               and a radial opacity-change approach, exploring rotation,
               panning, and zooming semantics. Our approach adds short
               animations during user interaction that help to explore the
               data efficiently and aid the user in the detection of
               unknown features.",
  month =      jun,
  location =   "VRVis, Vienna, Austria",
  keywords =   "focus + context, visualization, volume rendering, user
               interaction",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/sikachev_peter-2011-dfc/",
}