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The Visualization Handbook

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The Visualization Handbook
AuthorCharles D. Hansen
Christopher R. Johnson
LanguageEnglish
SubjectScientific visualization
Computer graphics
PublisherElsevier
Publication date
2005
Publication placeUnited States
ISBN978-0-12-387582-2

The Visualization Handbookis atextbookbyCharles D. HansenandChristopher R. Johnsonthat serves as a survey of the field ofscientific visualizationby presenting the basic concepts andalgorithmsin addition to a current review of visualization research topics and tools.[1]It is commonly used as atextbookforscientific visualizationgraduate courses.[2][3]It is also commonlycitedas a reference forscientific visualizationandcomputer graphicsin publishedpapers,with almost 500 citations documented onGoogle Scholar.[4]

Table of Contents

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  • PART I - Introduction
  1. Overview of Visualization -William J. Schroederand Kenneth M. Martin
  1. Accelerated Isosurface Extraction Approaches -Yarden Livnat
  2. Time-Dependent Isosurface Extraction - Han-Wei Shen
  3. Optimal Isosurface Extraction - Paolo Cignoni, Claudio Montani, Robert Scopigno, and Enrico Puppo
  4. Isosurface Extraction Using Extrema Graphs - Takayuki Itoh and Koji Koyamada
  5. Isosurfaces andLevel-Sets-Ross Whitaker
  1. Overview of Volume Rendering -Arie E. Kaufmanand Klaus Mueller
  2. Volume Rendering UsingSplatting- Roger Crawfis, Daqing Xue, and Caixia Zhang
  3. MultidimensionalTransfer Functionsfor Volume Rendering - Joe Kniss,Gordon Kindlmann,andCharles D. Hansen
  4. Pre-Integrated Volume Rendering - Martin Kraus andThomas Ertl
  5. Hardware-Accelerated Volume Rendering-Hanspeter Pfister
  1. Overview ofFlow Visualization- Daniel Weiskopf and Gordon Erlebacher
  2. Flow Textures: High-Resolution Flow Visualization- Gordon Erlebacher, Bruno Jobard, and Daniel Weiskopf
  3. Detection and Visualization of Vortices- Ming Jiang, Raghu Machiraju, and David Thompson
  1. Oriented Tensor Reconstruction - Leonid Zhukov and Alan H. Barr
  2. Diffusion Tensor MRIVisualization - Song Zhang,David Laidlaw,andGordon Kindlmann
  3. Topological Methodsfor Flow Visualization - Gerik Scheuermann and Xavier Tricoche
  1. 3D MeshCompression - Jarek Rossignac
  2. Variational Modeling Methods for Visualization -Hans Hagenand Ingrid Hotz
  3. Model Simplification - Jonathan D. Cohen andDinesh Manocha
  1. Direct Manipulation in Virtual Reality- Steve Bryson
  2. The Visual Haptic Workbench - Milan Ikits and J. Dean Brederson
  3. Virtual Geographic Information Systems- William Ribarsky
  4. Visualization UsingVirtual Reality-R. Bowen Loftin,Jim X. Chen, andLarry Rosenblum
  1. Desktop Delivery: Access to Large Datasets - Philip D. Heermann and Constantine Pavlakos
  2. Techniques for VisualizingTime-VaryingVolume Data -Kwan-Liu Maand Eric B. Lum
  3. Large-Scale Data Visualization and Rendering: A Problem-Driven Approach - Patrick McCormick and James Ahrens
  4. Issues and Architectures in Large-Scale Data Visualization - Constantine Pavlakos and Philip D. Heermann
  5. Consuming Network Bandwidth with Visapult - Wes Bethel and John Shalf
  • PART IX - Visualization Software and Frameworks
  1. The Visualization Toolkit- William J. Schroeder and Kenneth M. Martin
  2. Visualization in the SCIRun Problem-Solving Environment - David M. Weinstein, Steven Parker, Jenny Simpson, Kurt Zimmerman, and Greg M. Jones
  3. Numerical Algorithms GroupIRIS Explorer - Jeremy Walton
  4. AVS and AVS/Express - Jean M. Favre and Mario Valle
  5. Vis5D,Cave5D,andVisAD-Bill Hibbard
  6. Visualization with AVS - W. T. Hewitt, Nigel W. John, Matthew D. Cooper, K. Yien Kwok, George W. Leaver, Joanna M. Leng, Paul G. Lever, Mary J. McDerby, James S. Perrin, Mark Riding, I. Ari Sadarjoen, Tobias M. Schiebeck, and Colin C. Venters
  7. ParaView:An End-User Tool for Large-Data Visualization - James Ahrens, Berk Geveci, and Charles Law
  8. TheInsight Toolkit:An Open-Source Initiative inData SegmentationandRegistration- Terry S. Yoo
  9. amira:A Highly Interactive System for Visual Data Analysis - Detlev Stalling, Malte Westerhoff, andHans-Christian Hege
  1. Extending Visualization to Perceptualization: The Importance of Perception in Effective Communication of Information - David S. Ebert
  2. Art and Science in Visualization -Victoria Interrante
  3. Exploiting Human Visual Perception in Visualization -Alan Chalmersand Kirsten Cater
  • PART XI - Selected Topics and Applications
  1. ScalableNetwork Visualization- Stephen G. Eick
  2. VisualData-MiningTechniques -Daniel A. Keim,Mike Sips, and Mihael Ankerst
  3. Visualization in Weather and Climate Research - Don Middleton, Tim Scheitlin, and Bob Wilhelmson
  4. Painting and Visualization - Robert M. Kirby, Daniel F. Keefe, andDavid Laidlaw
  5. Visualization and Natural Control Systems for Microscopy - Russell M. Taylor II, David Borland,Frederick P. Brooks, Jr.,Mike Falvo, Kevin Jeffay, Gail Jones, David Marshburn, Stergios J. Papadakis, Lu-Chang Qin, Adam Seeger, F. Donelson Smith, Dianne Sonnenwald, Richard Superfine, Sean Washburn, Chris Weigle,Mary Whitton,Leandra Vicci, Martin Guthold,Tom Hudson,Philip Williams, andWarren Robinett
  6. Visualization for ComputationalAccelerator Physics-Kwan-Liu Ma,Greg Schussman, and Brett Wilson

See also

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References

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  1. ^"Description for" Visualization Handbook "".Academic Press. 29 December 2004.Retrieved5 April2017.
  2. ^"Blue Waters Project to Offer Graduate Visualization Course in Spring 2015".Scientific Computing.18 August 2014.Retrieved5 April2017.
  3. ^Chen, Min."Visual Analytics".Oxford University Department of Computer Science.Retrieved5 April2017.
  4. ^"Citations for The Visualization Handbook".Google Scholar.1 January 2011.
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