Scientific Visualization: The Visual Extraction of Knowledge from Data U\veOQ;mW
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by |J+(:{ }~
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Georges-Pierre Bonneau yz-,)GB6
Thomas Ertl "V>R9dO{"!
Gregory M. Nielson r'dr9"-{
Editors `((Y c]:7
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Springer-Verlag Berlin Heidelberg 2006 jn%!AH
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Scientific Visualization is concerned with techniques that allow scientists and engineers >iOzl wmG
to extract knowledge from the results of simulations and computations. Advances {&P
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in scientific computation are allowing mathematical models and simulations _bzqd"
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to become increasingly complex and detailed. This results in a closer approximation ew;ur?
to reality thus enhancing the possibility of acquiring new knowledge and understanding. @WQK>-=(3
Tremendously large collections of numerical values, which contain a great deal ,bM-I2BR
of information, are being produced and collected. The problem is to convey all of ) c/%
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this information to the scientist so that effective use can be made of the human creative (]RM6i 7
and analytic capabilities. This requires a method of communication with a high ~`GhS<D
bandwidth and an effective interface. Computer generated images and human vision {^ m(,K_
mediated by the principles of perceptual psychology are the means used in scientific j,t#B"hOnp
visualization to achieve this communication. The foundation material for the [97KBoSU
techniques of Scientific Visualization are derived from many areas including, for example, mCs#.%dU
computer graphics, image processing, computer vision, perceptual psychology, RP 2_l$
applied mathematics, computer aided design, signal processing and numerical h'i{&mS_b
analysis. %*o8L6Hn
This book is based on selected lectures given by leading experts in Scientific q;f KcblKj
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include zP:cE
user issues in visualization, large data visualization, unstructured mesh processing >Jw6l0z
for visualization, volumetric visualization, flow visualization, medical visualization 6 5oWD-
and visualization systems. The methods of visualizing data developed by Scientific W xk x,q?
Visualization researchers presented in this book are having broad impact on the way /Y&02L%\3s
other scientists, engineers and practitioners are processing and understanding their j7MO'RX`&
data from sensors, simulations and mathematics models. 2[B4f7
We would like to express our warmest thanks to the authors and referees for their dLvJh#`o
hard work. We would also like to thank Fabien Vivodtzev for his help in administering &(z fa&j|
the reviewing and editing process. ?!=iu!J
Grenoble, Georges-Pierre Bonneau x$wd
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January 2005 Thomas Ertl b$Hz3T J(
Gregory M. Nielson ="%W 2
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