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[VGH+05b]  Illustrative Visualization

Viola:2005:IV2 (In a collection)
Author(s)Viola I., Gröller M.E., Hadwiger M., Bühler K., Preim B. and Ebert D.
Title« Illustrative Visualization »
InTutorials of Eurographics 2005 (Dublin, Ireland, August 29--September 2, 2005)
Editor(s)Ming Lin and Celine Loscos
Page(s)187-329
Year2005
PublisherThe Eurographics Association and The Image Synthesis Group
AddressAire-la-Ville, Switzerland
URLhttp://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/
Editor(s)Ming Lin and Celine Loscos

Abstract
The tutorial presents state-of-the-art visualization techniques inspired by traditional technical and medical illustrations. Such techniques exploit the perception of the human visual system and provide effective visual abstractions to make the visualization clearly understandable. Visual emphasis and abstraction has been used for expressive presentation from prehistoric paintings to nowadays scientific and medical illustrations. Many of the expressive techniques used in art are adopted in computer graphics, and are denoted as illustrative or non-photorealistic rendering. Different stroke techniques, or brush properties express a particular level of abstraction. Feature emphasis or feature suppression is achieved by combining different abstraction levels in illustrative rendering. Challenges in visualization research are very large data visualization as well as multi-dimensional data visualization. To effectively convey the most important visual information there is a significant need for visual abstraction. For less relevant information the dedicated image space is reduced to enhance more prominent features. The discussed techniques in the context of scientific visualization are based on iso-surfaces and volume rendering. Apart from visual abstraction, i.e., illustrative representation, the visibility of prominent features can be achieved by illustrative visualization techniques such as cut-away views or ghosted views. The structures that occlude the most prominent information are suppressed in order to clearly see more interesting parts. Another smart way to provide information on the data is using exploded views or other types of deformation. Illustrative visualization is demonstrated via application-specific tasks in medical visualization. An important aspect as compared to traditional medical illustrations is the interactivity and real-time manipulation of the acquired patient data. This can be very useful in anatomy education. Another application area is surgical planning which is demonstrated with two case studies: neck dissection and liver surgery planning.

BibTeX code
@incollection{Viola:2005:IV2,
  optpostscript = {},
  www =
         {http://www.eg.org/EG/DL/Conf/EG2005/tutorials/187-329.pdf.abstract.pdf;internal&action=paperabstract.action},
  author = {Ivan Viola and Gr{\"o}ller, Meister Eduard and Markus Hadwiger and
            Katja B{\"u}hler and Bernhard Preim and David Ebert},
  optkey = {},
  optannote = {},
  optseries = {},
  opttype = {},
  editor = {Ming Lin and Celine Loscos},
  optedition = {},
  url = {http://www.cg.tuwien.ac.at/research/publications/2005/eg-tut2005-iv/},
  localfile = {papers/Viola.2005.IV2.pdf},
  optchapter = {},
  address = EGAdr,
  publisher = {The Eurographics Association and The Image Synthesis Group},
  optkeywords = {},
  optmonth = {},
  optciteseer = {},
  optdoi = {},
  optcrossref = {},
  booktitle = {Tutorials of Eurographics 2005 (Dublin, Ireland, August
               29--September 2, 2005)},
  optvolume = {},
  optnumber = {},
  abstract = {The tutorial presents state-of-the-art visualization techniques
              inspired by traditional technical and medical illustrations. Such
              techniques exploit the perception of the human visual system and
              provide effective visual abstractions to make the visualization
              clearly understandable. Visual emphasis and abstraction has been
              used for expressive presentation from prehistoric paintings to
              nowadays scientific and medical illustrations. Many of the
              expressive techniques used in art are adopted in computer
              graphics, and are denoted as illustrative or non-photorealistic
              rendering. Different stroke techniques, or brush properties
              express a particular level of abstraction. Feature emphasis or
              feature suppression is achieved by combining different abstraction
              levels in illustrative rendering. Challenges in visualization
              research are very large data visualization as well as
              multi-dimensional data visualization. To effectively convey the
              most important visual information there is a significant need for
              visual abstraction. For less relevant information the dedicated
              image space is reduced to enhance more prominent features. The
              discussed techniques in the context of scientific visualization
              are based on iso-surfaces and volume rendering. Apart from visual
              abstraction, i.e., illustrative representation, the visibility of
              prominent features can be achieved by illustrative visualization
              techniques such as cut-away views or ghosted views. The structures
              that occlude the most prominent information are suppressed in
              order to clearly see more interesting parts. Another smart way to
              provide information on the data is using exploded views or other
              types of deformation. Illustrative visualization is demonstrated
              via application-specific tasks in medical visualization. An
              important aspect as compared to traditional medical illustrations
              is the interactivity and real-time manipulation of the acquired
              patient data. This can be very useful in anatomy education.
              Another application area is surgical planning which is
              demonstrated with two case studies: neck dissection and liver
              surgery planning.},
  title = {{I}llustrative {V}isualization},
  year = {2005},
  pages = {187-329},
}

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