Visualization in Scientific Computing '97

Visualization is now recognized as a powerful approach to get insight in large datasets produced by scientific experimentations and simulations. The contributions to this book cover technical aspects as well as concrete applications of visualization in various domains such as finance, physics, astronomy and medicine, providing researchers and engineers with valuable information for setting up new powerful environments.

Contenu

WWW and Virtual Reality for Scientific Visualization.- Information Drill-Down Using Web Tools.- A Prototype for a WWW-based Visualization Service.- Efficient and Reliable Integration Methods for Particle Tracing in Unsteady Flows on Discrete Meshes.- Creating Evenly-Spaced Streamlines of Arbitrary Density.- Line Integral Convolution for 3D Surfaces.- A Framework for Physically-Based Information Visualization.- Feature Extraction from Pioneer Venus OCPP Data.- Visualization in Topology: Assembling the Projective Plane.- Combining Wavelet Transform and Graph Theory for Feature Extraction and Visualization.- Interactive Segmentation and Analysis of Fetal Ultrasound Images.- Efficient Visualization of Large-Scale Data on Hierarchical Meshes.- Simulation of Differential Interferometry and Comparison with Experimental Results.- Hierarchical Streamarrows for the Visualization of Dynamical Systems.- Parametrizable Cameras for 3D Computational Steering.- Appendix: Colour Figures.