Informatics pp 311-327 | Cite as

Scientific Visualization - Methods and Applications -

  • Hans Hagen
  • Achim Ebert
  • Rolf Hendrik van Lengen
  • Gerik Scheuermann
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2000)


Scientific Visualization is currently a very active and vital area of research, teaching and development. The success of Scientific Visualization is mainly due to the soundness of the basic premise behind it, that is, the basic idea of using computer-generated pictures to gain information and understanding from data (geometry) and relationships (topology). This is an extremely intiutive and very important concept which is having a profound and wide spread impact on the methodology of science and engineering. In this survey we are concentrating on three main research areas in Scientific Visualization - Intelligent Visualization Systems - Visualization of Vector- and Tensorfields - Augmented Reality Simulation


Augmented Reality Visualization System Reactive Agent Augmented Reality System Scientific Visualization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Hans Hagen
    • 1
  • Achim Ebert
    • 1
  • Rolf Hendrik van Lengen
    • 1
  • Gerik Scheuermann
    • 1
  1. 1.University of KaiserslauternGermany

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