Visualization in Scientific Computing ’98

1. Front Matter

   Pages I-VII

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2. Adaptive and Multi-resolution Methods

   1. Front Matter

      Pages 1-1

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   2. Data—Dependent Surface Simplification

      • Karin Frank, Ulrich Lang

      Pages 3-12

   3. Data Compression of Multiresolution Surfaces

      • Reinhard Klein, Stefan Gumhold

      Pages 13-24

   4. Adaptively Adjusting Marching Cubes Output to Fit A Trilinear Reconstruction Filter

      • Fabio Allamandri, Paolo Cignoni, Claudio Montani, Roberto Scopigno

      Pages 25-34

   5. Fast Generation of Multiresolution Surfaces from Contours

      • Andreas Schilling, Reinhard Klein

      Pages 35-46

3. Feature Extraction

   1. Front Matter

      Pages 47-47

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   2. Experiments on the Accuracy of Feature Extraction

      • Freek Reinders, Hans J. W. Spoelder, Frits H. Post

      Pages 49-58

   3. Enhancing the Visualization of Characteristic Structures in Dynamical Systems

      • Helwig Löffelmann, Eduard Gröller

      Pages 59-68

4. Flow Visualization

   1. Front Matter

      Pages 69-69

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   2. Particle Tracing in σ-Transformed Grids using Tetrahedral 6-Decomposition

      • I. Ari Sadarjoen, Alex J. de Boer, Frits H. Post, Arthur E. Mynett

      Pages 71-80

   3. Particle Tracing on Sparse Grids

      • Christian Teitzel, Roberto Grosso, Thomas Ertl

      Pages 81-90

   4. Visualization of Time-Dependent Velocity Fields by Texture Transport

      • Joachim Becker, Martin Rumpf

      Pages 91-101

5. Visualization Quality

   1. Front Matter

      Pages 103-103

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   2. Stereoscopic Volume Rendering

      • Roger J. Hubbold, David J. Hancock, Christopher J. Moore

      Pages 105-115

   3. Mirror, Mirror on the Wall, Who Has the Best Visualization of All? - A Reference Model for Visualization Quality -

      • Helmut Haase

      Pages 117-128

   4. Three-Dimensional Visualization of Atomic Collision Cascades

      • Filip Šroubek, Pavel Slavík

      Pages 129-138

6. Back Matter

   Pages 139-151

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In twelve selected papers common problems in scientific visualization are discussed: adaptive and multi-resolution methods, feature extraction, flow visualization, and visualization quality. Four papers focus on aspects of mesh reduction, mesh compression, and increasing the quality of the resulting mesh. Two extentions on particle tracing are presented as well as a paper on the simulation of material transport. Two papers are on feature extraction in dynamics systems and on the accuracy of algorithmic extracted features. Three papers focus on stereoscopic volume rendering, on the visualization of atomic collision cascades and of quality of visualization systems in general.

• Dynamics
• Stereo
• Textur
• algorithms
• dynamical systems
• graphics
• model
• plates
• rendering
• scientific computing
• scientific visualization
• simulation
• visualisierung
• visualization

• WSI/GRIS, University of Tübingen, Federal Republic of Germany

  Dirk Bartz

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