Overview   Tree   Index 
NPR Literature
PREV  NEXT FRAMES  NO FRAME 

[VGH+05]  Illustrative Visualization

Viola:2005:IV (In a collection)
Author(s)Viola I., Gröller M.E., Hadwiger M., Bühler K., Preim B., Sousa M.C., Ebert D. and Stredney D.
Title« Illustrative Visualization »
InIEEE Visualization (VIS 2005, October 23--28, 2005, Minneapolis, MN, USA)
SeriesTutorials
Number5
Year2005
PublisherIEEE Computer Society
AddressLos Alamitos, CA
URLhttp://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/

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. A different smart way to provide information on the data is using exploded views or other types of deformation. Furthermore intuitive feature classification via 3D painting and manipulation with the classified data including label placement is presented. Discussed non-photorealistic and illustrative techniques from visualization and graphics are shown from the perspective as tools for illustrators from medicine, botany, archeology, and zoology. The limitations of existing NPR systems for science illustration are highlighted, and proposals for possible new directions are made. 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:IV,
  opteditor = {},
  optpostscript = {},
  www = {http://doi.ieeecomputersociety.org/10.1109/VIS.2005.57},
  number = {5},
  author = {Ivan Viola and Gr{\"o}ller, Meister Eduard and Markus Hadwiger and
            Katja B{\"u}hler and Bernhard Preim and Mario Costa Sousa and David
            Ebert and Don Stredney},
  optkey = {},
  series = {Tutorials},
  optannote = {},
  opttype = {},
  optedition = {},
  url = {http://www.cg.tuwien.ac.at/research/publications/2005/Viola-vistutillustrativevis/},
  optchapter = {},
  localfile = {papers/Viola.2005.IV.pdf},
  address = IEEEAdr,
  publisher = IEEEPub,
  optkeywords = {},
  optmonth = {},
  optciteseer = {},
  doi = {http://dx.doi.org/10.1109/VIS.2005.57},
  optcrossref = {},
  optpages = {},
  booktitle = {IEEE Visualization (VIS 2005, October 23--28, 2005, Minneapolis,
               MN, USA)},
  optvolume = {},
  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. A different smart way
              to provide information on the data is using exploded views or
              other types of deformation. Furthermore intuitive feature
              classification via 3D painting and manipulation with the
              classified data including label placement is presented. Discussed
              non-photorealistic and illustrative techniques from visualization
              and graphics are shown from the perspective as tools for
              illustrators from medicine, botany, archeology, and zoology. The
              limitations of existing NPR systems for science illustration are
              highlighted, and proposals for possible new directions are made.
              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},
}

 Overview   Tree   Index 
NPR Literature
PREV  NEXT FRAMES  NO FRAME 

Submit a bug

This document was generated by bib2html 3.3.
Copyright © 1998-05 Stéphane GALLAND (under the GNU General Public License)

Valid HTML 4.01!Valid CSS!