Visualization Handbook

By

  • Charles Hansen, University of Utah Salt Lake City, Utah
  • Chris R. Johnson, Distinguished Professor of Computer Science, University of Utah, Salt Lake City, Utah

The Visualization Handbook provides an overview of the field of visualization by presenting the basic concepts, providing a snapshot of current visualization software systems, and examining research topics that are advancing the field. This text is intended for a broad audience, including not only the visualization expert seeking advanced methods to solve a particular problem, but also the novice looking for general background information on visualization topics. The largest collection of state-of-the-art visualization research yet gathered in a single volume, this book includes articles by a 芒聙聹who芒聙聶s who芒聙聺 of international scientific visualization researchers covering every aspect of the discipline, including:脗路 Virtual environments for visualization脗路 Basic visualization algorithms脗路 Large-scale data visualization脗路 Scalar data isosurface methods脗路 Visualization software and frameworks脗路 Scalar data volume rendering脗路 Perceptual issues in visualization脗路 Various application topics, including information visualization.
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Audience

Engineers, computer scientists, economists, demographers, and medical practitioners concerned with modeling/visualization of large data sets.

 

Book information

  • Published: December 2004
  • Imprint: ACADEMIC PRESS
  • ISBN: 978-0-12-387582-2


Table of Contents

Visualization HandbookSection One: Introduction by Johnson and HansenChapter 1. Overview of Visualization by Schroeder Section Two: Scalar Field Visualization - IsosurfacesChapter 1. Accelerated Isosurface Extraction Approaches by LivnatChapter 2. Time Dependent Isosurface Extraction by Shen Chapter 3. Optimal Isosurface Extraction by Scopigno, Cignoni, Montani and PuppoChapter 4. Isosurface Extraction using Extrema Graphs by Koyamada and TakayukiChapter 5. Isosurfaces and Level-Sets by WhitakerSection Three: Scalar Field Visualization 芒聙聯 Volume RenderingChapter 1. Overview of Volume Rendering by Arie Kaufman and Klaus MuellerChapter 2. Volume Rendering using Splatting by Crawfis, Xue and ZhangChapter 3. Multi-Dimensional Transfer Functions for Volume Rendering by Kniss, Kindlemann and HansenChapter 4. Preintegrated Volume Rendering by Kraus and Ertl Chapter 5. Hardware-Accelerated Volume Rendering by PfisterSection Four: Vector Field VisualizationChapter 1. Flow Visualization Overview by Weiskopf and ErlebacherChapter 2. Flow Textures by Gordon Erlebacher, Jobard and WeiskopfChapter 3. Detection and Visualization of Vortices by Jiang, Machiraju, and ThompsonSection Five: Tensor Field VisualizationChapter 1. Oriented Tensor Reconstruction by Leonid Zhukov and Alan H. BarrChapter 2. Diffusion Tensor MRI Visualization by Zang, Kindlemann and LaidlawChapter 3. Topological Methods for Tensor Visualization by Scheuermann and TricocheSection Six: Geometric Modeling for VisualizationChapter 1. 3D Mesh Compression by RossignacChapter 2. Variational Modeling Methods for Visualization by Hagen and HotzChapter 3. Model Simplification by Cohen and ManochaSection Seven: Virtual Environments for VisualizationChapter 1. Direct Manipulation in Virtual Reality by BrysonChapter 2. The Visual Haptic Workbench by Ikits and BredersonChapter 3. Virtual Geographic Information Systems by RibarskyChapter 4. Visualization Using Virtual Reality by Loften, Chen and RosenblumSection Eight: Large-scale Data VisualizationChapter 1. A Desktop Delivery: Access to Large Data Sets by Heermann and PavlakosChapter 2. Techniques for Visualizing Time-Varying Volume Data by Ma and LumChapter 3. Large Scale Data Visualization and Rendering: A Problem Driven Approach by McCormick and AhrensChapter 4. Issues and Architectures for Large Data Visualization by Pavlakos and HeermannChapter 5. Consuming Network Bandwidth with Visapult by Bethel and ShalfSection Nine: Visualization Software and FrameworksChapter 1. VTK 芒聙聯 The Visualization Toolkit by Schroeder and MartinChapter 2. Visualization in the SCIRun Problem Solving Environment by Parker et al. Chapter 3. NAG芒聙聶s Iris Explorer by WaltonChapter 4. AVS and AVS Express by Favre and ValleChapter 5. Vis5D, Cave5D and VisAD by HibbardChapter 6. Visualization with AVS by Manchester Visualization CenterChapter 7. ParaView by Ahrens, Geveci and LawChapter 8. The Insight Toolkit (ITK) by YooChapter 9. Amira- a Highly-interation system for Visual Data Analysis by Stalling, Westerhoff, HegeSection Ten: Perceptual Issues in VisualizationChapter 1. Extending Visualization to Perception: The Importance of Perception in Effective Communication of Information by Ebert Chapter 2. Art and Science Visualization by InterranteChapter 3. Exploiting Human Visual Perception in Visualization by Chalmers and CaterSection Eleven: Selected Topics and ApplicationsChapter 1. Scalable Network Visualization by EickChapter 2. Visual Data Mining Techniques by Keim, Sips, AnkerstChapter 3. Visualization in Weather and Climate Research by Middleton and WilhelmsonChapter 4. Painting and Visualization by Kirby, Keefe, and Laidlaw Chapter 5. Visualization and Natural Control Systems for Microscopy by Taylor, Borland, Brooks , Falvo et al.Chapter 6. Visualization for Computational Accelerator Physics by Ma, Schussonan, Wilson