Visualization Handbook

Visualization Handbook

1st Edition - December 15, 2004

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  • Authors: Charles Hansen, Chris R. Johnson
  • eBook ISBN: 9780080481647

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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 “who’s who” of international scientific visualization researchers covering every aspect of the discipline, including:·Virtual environments for visualization·Basic visualization algorithms·Large-scale data visualization·Scalar data isosurface methods·Visualization software and frameworks·Scalar data volume rendering·Perceptual issues in visualization·Various application topics, including information visualization.

Key Features

* Edited by two of the best known people in the world on the subject; chapter authors are authoritative experts in their own fields;
* Covers a wide range of topics, in 47 chapters, representing the state-of-the-art of scientific visualization.


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

Table of Contents

  • Visualization Handbook

    Section One:
    Introduction by Johnson and Hansen
    Chapter 1. Overview of Visualization by Schroeder

    Section Two: Scalar Field Visualization - Isosurfaces

    Chapter 1. Accelerated Isosurface Extraction Approaches by Livnat
    Chapter 2. Time Dependent Isosurface Extraction by Shen
    Chapter 3. Optimal Isosurface Extraction by Scopigno, Cignoni, Montani and Puppo
    Chapter 4. Isosurface Extraction using Extrema Graphs by Koyamada and Takayuki
    Chapter 5. Isosurfaces and Level-Sets by Whitaker

    Section Three: Scalar Field Visualization – Volume Rendering

    Chapter 1. Overview of Volume Rendering by Arie Kaufman and Klaus Mueller
    Chapter 2. Volume Rendering using Splatting by Crawfis, Xue and Zhang
    Chapter 3. Multi-Dimensional Transfer Functions for Volume Rendering by Kniss, Kindlemann and Hansen
    Chapter 4. Preintegrated Volume Rendering by Kraus and Ertl
    Chapter 5. Hardware-Accelerated Volume Rendering by Pfister

    Section Four: Vector Field Visualization

    Chapter 1. Flow Visualization Overview by Weiskopf and Erlebacher
    Chapter 2. Flow Textures by Gordon Erlebacher, Jobard and Weiskopf
    Chapter 3. Detection and Visualization of Vortices by Jiang, Machiraju, and Thompson

    Section Five: Tensor Field Visualization

    Chapter 1. Oriented Tensor Reconstruction by Leonid Zhukov and Alan H. Barr
    Chapter 2. Diffusion Tensor MRI Visualization by Zang, Kindlemann and Laidlaw
    Chapter 3. Topological Methods for Tensor Visualization by Scheuermann and Tricoche

    Section Six: Geometric Modeling for Visualization

    Chapter 1. 3D Mesh Compression by Rossignac
    Chapter 2. Variational Modeling Methods for Visualization by Hagen and Hotz
    Chapter 3. Model Simplification by Cohen and Manocha

    Section Seven: Virtual Environments for Visualization

    Chapter 1. Direct Manipulation in Virtual Reality by Bryson
    Chapter 2. The Visual Haptic Workbench by Ikits and Brederson
    Chapter 3. Virtual Geographic Information Systems by Ribarsky
    Chapter 4. Visualization Using Virtual Reality by Loften, Chen and Rosenblum

    Section Eight: Large-scale Data Visualization

    Chapter 1. A Desktop Delivery: Access to Large Data Sets by Heermann and Pavlakos
    Chapter 2. Techniques for Visualizing Time-Varying Volume Data by Ma and Lum
    Chapter 3. Large Scale Data Visualization and Rendering: A Problem Driven Approach by McCormick and Ahrens
    Chapter 4. Issues and Architectures for Large Data Visualization by Pavlakos and Heermann
    Chapter 5. Consuming Network Bandwidth with Visapult by Bethel and Shalf

    Section Nine: Visualization Software and Frameworks

    Chapter 1. VTK – The Visualization Toolkit by Schroeder and Martin
    Chapter 2. Visualization in the SCIRun Problem Solving Environment by Parker et al.
    Chapter 3. NAG’s Iris Explorer by Walton
    Chapter 4. AVS and AVS Express by Favre and Valle
    Chapter 5. Vis5D, Cave5D and VisAD by Hibbard
    Chapter 6. Visualization with AVS by Manchester Visualization Center
    Chapter 7. ParaView by Ahrens, Geveci and Law
    Chapter 8. The Insight Toolkit (ITK) by Yoo
    Chapter 9. Amira- a Highly-interation system for Visual Data Analysis by Stalling, Westerhoff, Hege

    Section Ten: Perceptual Issues in Visualization

    Chapter 1. Extending Visualization to Perception: The Importance of Perception in Effective Communication of Information by Ebert
    Chapter 2. Art and Science Visualization by Interrante
    Chapter 3. Exploiting Human Visual Perception in Visualization by Chalmers and Cater

    Section Eleven: Selected Topics and Applications

    Chapter 1. Scalable Network Visualization by Eick
    Chapter 2. Visual Data Mining Techniques by Keim, Sips, Ankerst
    Chapter 3. Visualization in Weather and Climate Research by Middleton and Wilhelmson
    Chapter 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

Product details

  • No. of pages: 984
  • Language: English
  • Copyright: © Academic Press 2004
  • Published: December 15, 2004
  • Imprint: Academic Press
  • eBook ISBN: 9780080481647

About the Authors

Charles Hansen

Affiliations and Expertise

University of Utah Salt Lake City, Utah

Chris R. Johnson

Professor Johnson directs the Scientific Computing and Imaging Institute at the University of Utah where he is a Distinguished Professor of Computer Science and holds faculty appointments in the Departments of Physics and Bioengineering. His research interests are in the areas of scientific computing and scientific visualization.

Dr. Johnson founded the SCI research group in 1992, which has since grown to become the SCI Institute employing over 100 faculty, staff and students. Professor Johnson serves on several international journal editorial boards, as well as on advisory boards to several national research centers. Professor Johnson has received several awards, including the the NSF Presidential Faculty Fellow (PFF) award from President Clinton in 1995 and the Governor's Medal for Science and Technology from Governor Michael Leavitt in 1999. In 2003 he received the Distinguished Professor Award from the University of Utah. In 2004 he was elected a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) and in 2005 he was elected a Fellow of the American Association for the Advancement of Science (AAAS).

Affiliations and Expertise

Distinguished Professor of Computer Science, University of Utah, Salt Lake City, Utah

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