Scientific Visualization: The Visual Extraction of Knowledge from Data H|JPqBNRh
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by 6#hDj_(,
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Georges-Pierre Bonneau IOhJL'r
Thomas Ertl
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Gregory M. Nielson C-u'Me)H
Editors P;4Y%Dq~Qo
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Springer-Verlag Berlin Heidelberg 2006 '"qTmo!
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Scientific Visualization is concerned with techniques that allow scientists and engineers mSdByT+dG
to extract knowledge from the results of simulations and computations. Advances Se{x-vn?p
in scientific computation are allowing mathematical models and simulations ]Dec/Nnj
to become increasingly complex and detailed. This results in a closer approximation ~.7/o0'+
to reality thus enhancing the possibility of acquiring new knowledge and understanding. y(^t &tgjS
Tremendously large collections of numerical values, which contain a great deal )31{.c/
of information, are being produced and collected. The problem is to convey all of + Nn
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this information to the scientist so that effective use can be made of the human creative /N '0@q
and analytic capabilities. This requires a method of communication with a high lJb1{\|.,
bandwidth and an effective interface. Computer generated images and human vision l1HMH?0|
mediated by the principles of perceptual psychology are the means used in scientific D~P3~^
visualization to achieve this communication. The foundation material for the _Wg?H:\
techniques of Scientific Visualization are derived from many areas including, for example, hg4 d]R,
computer graphics, image processing, computer vision, perceptual psychology, 'guXdX]Gu
applied mathematics, computer aided design, signal processing and numerical D`d*bNR
analysis. 3CcCcZ9I
This book is based on selected lectures given by leading experts in Scientific A#k(0e!O
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include 41Ga- 0p
user issues in visualization, large data visualization, unstructured mesh processing
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for visualization, volumetric visualization, flow visualization, medical visualization w`KqB(36
and visualization systems. The methods of visualizing data developed by Scientific ,a
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Visualization researchers presented in this book are having broad impact on the way ]ie38tX$
other scientists, engineers and practitioners are processing and understanding their 1 etl:gcEC
data from sensors, simulations and mathematics models. 4}.PQ{
We would like to express our warmest thanks to the authors and referees for their +-2o b90_m
hard work. We would also like to thank Fabien Vivodtzev for his help in administering /Z^"[Ke
the reviewing and editing process. 'o}v{f
Grenoble, Georges-Pierre Bonneau [J{\Ke0<e1
January 2005 Thomas Ertl P|j|0o,8p
Gregory M. Nielson }:+SA
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