Visualization in Scientific Computing '98: Proceedings of the Eurographics Workshop in Blaubeuren, Germany, April 20-22, 1998

Dirk Bartz

ISBN 10: 3211832092 / ISBN 13: 9783211832097

Editore: Springer 2013-10-04, 2013

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Codice articolo 6666-IUK-9783211832097

Dati bibliografici

• Titolo: Visualization in Scientific Computing '98: Proceedings of the Eurographics Workshop in Blaubeuren, Germany, April 20-22, 1998
• Editore: Springer 2013-10-04
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 3211832092
• ISBN 13: 9783211832097
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

In 12 selected papers common problems in visualization are discussed. These include: 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 extensions on particle tracing are presented, as well as a paper on the simulation of material transport. Two papers discuss feature extraction in dynamics systems and 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.

Contenuti

I. Adaptive and Multi-resolution Methods.- Data-Dependent Surface Simplification.- Data Compression of Multiresolution Surfaces.- Adaptively Adjusting Marching Cubes Output to Fit A Trilinear Reconstruction Filter.- Fast Generation of Multiresolution Surfaces from Contours.- II. Feature Extraction.- Experiments on the Accuracy of Feature Extraction.- Enhancing the Visualization of Characteristic Structures in Dynamical Systems.- III. Flow Visualization.- Particle Tracing in cr-Transformed Grids using Tetrahedral 6-Decomposition.- Particle Tracing on Sparse Grids.- Visualization of Time-Dependent Velocity Fields by Texture Transport.- IV. Visualization Quality.- Stereoscopic Volume Rendering.- Mirror, Mirror on the Wall, Who Has the Best Visualization of All? – A Reference Model for Visualization Quality.- Three-Dimensional Visualization of Atomic Collision Cascades.- Color Plates.