Scientific Visualization: The Visual Extraction of Knowledge from Data NJTC+`Hm
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by m=p< .%a
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Georges-Pierre Bonneau mB ]Y;R<
Thomas Ertl \J?5K l[*c
Gregory M. Nielson >5 }jM5$
Editors Dt8wd,B
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Springer-Verlag Berlin Heidelberg 2006 I\peO /w
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Scientific Visualization is concerned with techniques that allow scientists and engineers SK_i 3?
to extract knowledge from the results of simulations and computations. Advances +i.b&PF'H
in scientific computation are allowing mathematical models and simulations bLpGrGJs
to become increasingly complex and detailed. This results in a closer approximation ?{M!syD<
to reality thus enhancing the possibility of acquiring new knowledge and understanding. 9dXtugp|
Tremendously large collections of numerical values, which contain a great deal /"%QIy'{
of information, are being produced and collected. The problem is to convey all of Il9pL~u
this information to the scientist so that effective use can be made of the human creative O`W&`B(*k
and analytic capabilities. This requires a method of communication with a high j2"Y{6c
bandwidth and an effective interface. Computer generated images and human vision b(McH*_8e
mediated by the principles of perceptual psychology are the means used in scientific zPT!Fa`
visualization to achieve this communication. The foundation material for the %xWscA%^u
techniques of Scientific Visualization are derived from many areas including, for example, ;Z( ~;D
computer graphics, image processing, computer vision, perceptual psychology, hSyA;*)U
applied mathematics, computer aided design, signal processing and numerical U?:<clh
analysis. sm t6).o
This book is based on selected lectures given by leading experts in Scientific jboQ)NxT!,
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include V`z2F'vT
user issues in visualization, large data visualization, unstructured mesh processing niIjatT
for visualization, volumetric visualization, flow visualization, medical visualization HJ,sZ4* ]]
and visualization systems. The methods of visualizing data developed by Scientific $S0eERg a
Visualization researchers presented in this book are having broad impact on the way ooPH [p
other scientists, engineers and practitioners are processing and understanding their 34P5[j!h
data from sensors, simulations and mathematics models. !^*I?9P
We would like to express our warmest thanks to the authors and referees for their <r{ )*]#l
hard work. We would also like to thank Fabien Vivodtzev for his help in administering r` T(xJ!)
the reviewing and editing process. ET7(n0*P}]
Grenoble, Georges-Pierre Bonneau ,Cckp! 6
January 2005 Thomas Ertl wf8GH}2A
Gregory M. Nielson 7 VwLyy
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