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Scientific Visualization: The Visual Extraction of Knowledge from Data

  • Conference proceedings
  • © 2006

Overview

  • Most recent results on the topic
  • Includes supplementary material: sn.pub/extras

Part of the book series: Mathematics and Visualization (MATHVISUAL)

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Table of contents (24 papers)

  1. Meshes for Visualization

  2. Volume Visualization and Medical Visualization

  3. Vector Field Visualization

  4. Visualization Systems

Keywords

About this book

One of the greatest scientific challenges of the 21st century is how to master, organize and extract useful knowledge from the overwhelming flow of information made available by today’s data acquisition systems and computing resources. Visualization is the premium means of taking up this challenge. This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems. The book contains more than 350 color illustrations.

Editors and Affiliations

  • Lab. LMC-IMAG, Universite Grenoble I, Grenoble CX 9, France

    Georges-Pierre Bonneau

  • Visualization and Interactive Systems Institute (VIS), University of Stuttgart, Stuttgart, Germany

    Thomas Ertl

  • Department of Computer Science and Engineering Ira A. Fulton School of Engineering, Arizona State University, Tempe, USA

    Gregory M. Nielson

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