Illustrative Visualization

Information

• Publication Type: Invited Talk
• Workgroup(s)/Project(s):
  • Visualization Group
• Date: 2010
• Event: IFI colloquium
• Location: Department of Informatics, University of Zurich
• Conference date: 2. December 2010 –

Abstract

Illustrations play a major role in the education process. Whether used to teach a surgical or radiologic procedure, to illustrate normal or aberrant anatomy, or to explain the functioning of a technical device, illustration significantly impacts learning. One of the key concepts for creating an expressive illustration is abstraction. Abstraction introduces a distortion between the visualization and the underlying model according to the communicative intent of the illustration. Inspired by observations from hand-made illustrations, similar techniques for the generation of rendered images have been developed. These techniques work on different levels: low level abstraction techniques (stylized depiction methods) deal with how objects should be presented, while high level abstraction techniques (smart visibility approaches) are concerned with what should be visible and recognizable. We review several existing approaches from both categories and describe concepts used in the design of a system for creating interactive illustrations directly from volumetric data. A fully dynamic three-dimensional illustration environment is discussed which directly operates on volume data. Single images have the aesthetic appeal of traditional illustrations, but can be interactively altered and explored. Furthermore, we discuss several illustrative concepts like style transfer functions, exploded views, semantic layers, and illustration-inspired integrated views. Further information on the presented techniques is available at http://www.cg.tuwien.ac.at/research/vis/.

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BibTeX

@talk{Groeller-2010-IFI,
  title =      "Illustrative Visualization",
  author =     "Eduard Gr\"{o}ller",
  year =       "2010",
  abstract =   "Illustrations play a major role in the education process.
               Whether used to teach a surgical or radiologic procedure, to
               illustrate normal or aberrant anatomy, or to explain the
               functioning of a technical device, illustration
               significantly impacts learning. One of the key concepts for
               creating an expressive illustration is abstraction.
               Abstraction introduces a distortion between the
               visualization and the underlying model according to the
               communicative intent of the illustration. Inspired by
               observations from hand-made illustrations, similar
               techniques for the generation of rendered images have been
               developed. These techniques work on different levels: low
               level abstraction techniques (stylized depiction methods)
               deal with how objects should be presented, while high level
               abstraction techniques (smart visibility approaches) are
               concerned with what should be visible and recognizable. We
               review several existing approaches from both categories and
               describe concepts used in the design of a system for
               creating interactive illustrations directly from volumetric
               data. A fully dynamic three-dimensional illustration
               environment is discussed which directly operates on volume
               data. Single images have the aesthetic appeal of traditional
               illustrations, but can be interactively altered and
               explored. Furthermore, we discuss several illustrative
               concepts like style transfer functions, exploded views,
               semantic layers, and illustration-inspired integrated views.
               Further information on the presented techniques is available
               at http://www.cg.tuwien.ac.at/research/vis/. ",
  event =      "IFI colloquium",
  location =   "Department of Informatics, University of Zurich",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2010/Groeller-2010-IFI/",
}