Scientific Visualization: The Visual Extraction of Knowledge from Data {BV4h%P]:
:d'
5O8
by Fvl`2W94;
-G`.y?
Georges-Pierre Bonneau BGWAh2w6
Thomas Ertl T0e<Slo~C
Gregory M. Nielson fC<m^%*zgA
Editors l[Z)@bC1
T[uDZYx
Springer-Verlag Berlin Heidelberg 2006 Zk`#VH
O.+9,4A(
Scientific Visualization is concerned with techniques that allow scientists and engineers v[ ,Src
to extract knowledge from the results of simulations and computations. Advances igkz2S I
in scientific computation are allowing mathematical models and simulations <@#PF$!
to become increasingly complex and detailed. This results in a closer approximation H5xzD9K;/C
to reality thus enhancing the possibility of acquiring new knowledge and understanding. 2C
"=!'
Tremendously large collections of numerical values, which contain a great deal x0+glQrNN
of information, are being produced and collected. The problem is to convey all of :,UN8L "
this information to the scientist so that effective use can be made of the human creative Oh!(@
and analytic capabilities. This requires a method of communication with a high isK;mU?<
bandwidth and an effective interface. Computer generated images and human vision PpOlt.yui
mediated by the principles of perceptual psychology are the means used in scientific ~brFo2
visualization to achieve this communication. The foundation material for the Z!{UWegun
techniques of Scientific Visualization are derived from many areas including, for example, t&RruwN_;
computer graphics, image processing, computer vision, perceptual psychology, ClUSrSp
applied mathematics, computer aided design, signal processing and numerical O!F]^'!
analysis. /9 hR
This book is based on selected lectures given by leading experts in Scientific [_!O<z_sB
Visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include k
onoI&kV|
user issues in visualization, large data visualization, unstructured mesh processing E`D%PEps+
for visualization, volumetric visualization, flow visualization, medical visualization 665[
and visualization systems. The methods of visualizing data developed by Scientific f`P9ku#j}
Visualization researchers presented in this book are having broad impact on the way Q< *8<Oo4g
other scientists, engineers and practitioners are processing and understanding their Qi=*1QAkr
data from sensors, simulations and mathematics models. oyeG$mpg
We would like to express our warmest thanks to the authors and referees for their .ER 98
hard work. We would also like to thank Fabien Vivodtzev for his help in administering
9f+RAN(
the reviewing and editing process. CEtR[Cu
Grenoble, Georges-Pierre Bonneau 1:NS}r+>3.
January 2005 Thomas Ertl 0D[@u3W
Gregory M. Nielson VXKT\9g3A
,0?!ov|