@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},
}
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