The Visualization Handbook

982 Pages·2005·14.329 MB·English

by  Charles D. Hansen, Chris R. Johnson

Johnson/Hansen:TheVisualizationHandbook FinalProof 5.10.2004 4:23am pagei
The Visualization
Handbook
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Johnson/Hansen:TheVisualizationHandbook FinalProof 5.10.2004 4:23am pageiii
The Visualization
Handbook
Edited by
Charles D. Hansen
Associate Director, Scientific Computing and Imaging Institute
Associate Professor, School of Computing
University of Utah
Salt Lake City, Utah
Chris R. Johnson
Director, Scientific Computing and Imaging Institute
Distinguished Professor, School of Computing
University of Utah
Salt Lake City, Utah
AMSTERDAM . BOSTON . HEIDELBERG . LONDON
NEWYORK . OXFORD . PARIS . SANDIEGO
SANFRANCISCO . SINGAPORE . SYDNEY . TOKYO
Johnson/Hansen:TheVisualizationHandbook FinalProof 5.10.2004 4:23am pageiv
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1. Informationvisualization.2. Computergraphics. I.Hansen,CharlesD.II.Johnson,ChrisR.III.Title.
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Johnson/Hansen:TheVisualizationHandbook FinalProof 5.10.2004 4:23am pagev
Contents
Contributors viii 9. Multidimensional Transfer
Functions forVolumeRendering
Preface xiv
Joe Kniss, Gordon Kindlmann,
Acknowledgments xviii and Charles D. Hansen 189
10. Pre-Integrated Volume Rendering
PART I
Martin Kraus and Thomas Ertl 211
Introduction
11. Hardware-Accelerated
1. Overview of Visualization
Volume Rendering
William J.Schroeder
Hanspeter Pfister 229
and KennethM. Martin 3
PART IV
PART II
Vector Field Visualization
ScalarField Visualization: Isosurfaces
12. Overview of Flow Visualization
2. Accelerated Isosurface
Daniel Weiskopf and
Extraction Approaches
Gordon Erlebacher 261
YardenLivnat 39
13. FlowTextures:High-Resolution
3. Time-Dependent
FlowVisualization
Isosurface Extraction
Gordon Erlebacher, BrunoJobard,
Han-WeiShen 57
and Daniel Weiskopf 279
4. Optimal Isosurface Extraction
14. Detection and Visualization
PaoloCignoni,Claudio Montani,
of Vortices
RobertoScopigno, and Enrico Puppo 69
Ming Jiang, Raghu Machiraju,
5. Isosurface Extraction Using and David Thompson 295
ExtremaGraphs
Takayuki Itoh andKojiKoyamada 83
PART V
6. Isosurfaces and Level-Sets Tensor Field Visualization
RossT. Whitaker 97
15. Oriented Tensor Reconstruction
Leonid Zhukov andAlanH. Barr 313
PART III
ScalarField Visualization: 16. Diffusion Tensor
Volume Rendering MRI Visualization
Song Zhang,DavidH. Laidlaw,
7. Overview of VolumeRendering
and Gordon Kindlmann 327
Arie Kaufman and KlausMueller 127
17. Topological Methods for
8. Volume Rendering Using Splatting
FlowVisualization
RogerCrawfis, Daqing Xue, and
Gerik Scheuermann and
CaixiaZhang 175
Xavier Tricoche 341
v
vi TheVisualizationHandbook
PART VI 28. Issues and Architecturesin
GeometricModelingforVisualization Large-Scale Data Visualization
Constantine Pavlakosand
18. 3D Mesh Compression
Philip D. Heermann 551
Jarek Rossignac 359
29. Consuming Network Bandwidth
19. Variational Modeling Methods
with Visapult
for Visualization
WesBethel and John Shalf 569
Hans Hagen and Ingrid Hotz 381
20. Model Simplification
PART IX
JonathanD. Cohen and
Visualization Software and Frameworks
Dinesh Manocha 393
30. The Visualization Toolkit
William J.Schroeder and
PART VII
Kenneth M.Martin 593
Virtual Environments for Visualization
31. Visualization in the SCIRun
21. DirectManipulation in
Problem-Solving Environment
Virtual Reality
David M.Weinstein,Steven Parker,
Steve Bryson 413
JennySimpson,KurtZimmerman,
22. The Visual Haptic Workbench and GregM.Jones 615
Milan Ikits andJ. Dean Brederson 431
32. NAG’sIris Explorer
23. Virtual Geographic Jeremy Walton 633
Information Systems
33. AVS and AVS/Express
William Ribarsky 449
JeanM.Favre and Mario Valle 655
24. Visualization Using Virtual
34. Vis5D, Cave5D, and VisAD
Reality
Bill Hibbard 673
R. Bowen Loftin,Jim X. Chen,
and LarryRosenblum 479 35. Visualization withAVS
W.T. Hewitt, Nigel W.John,
Matthew D. Cooper, K. YienKwok,
PART VIII
George W.Leaver, Joanna M. Leng,
Large-Scale Data Visualization
PaulG. Lever, Mary J.McDerby,
25. Desktop Delivery: Accessto James S. Perrin, Mark Riding,
LargeDatasets I. AriSadarjoen,
Philip D. Heermannand Tobias M. Schiebeck,
ConstantinePavlakos 493 and ColinC. Venters 689
26. Techniques forVisualizing 36. ParaView: AnEnd-User Tool for
Time-VaryingVolume Data Large-DataVisualization
Kwan-LiuMaand Eric B. Lum 511 James Ahrens, Berk Geveci, and
Charles Law 717
27. Large-Scale Data Visualization
and Rendering: AProblem-Driven 37. The Insight Toolkit:An
Approach Open-Source Initiative in Data
Patrick McCormick and Segmentation and Registration
James Ahrens 533 TerryS. Yoo 733
Johnson/Hansen:TheVisualizationHandbook FinalProof 5.10.2004 4:23am pagevii
Contents vii
38. amira:A Highly Interactive 44. Visualization inWeather and
System for Visual Data Analysis Climate Research
DetlevStalling, Malte Westerhoff, DonMiddleton, Tim Scheitlin,
and Hans-Christian Hege 749 and Bob Wilhelmson 845
45. Painting and Visualization
PART X
Robert M.Kirby, Daniel F. Keefe,
PerceptualIssues inVisualization
and David H. Laidlaw 873
39. Extending Visualization to
46. Visualization and NaturalControl
Perceptualization: The Importance of
Systems forMicroscopy
Perception inEffective
Russell M. Taylor II, David Borland,
Communication of Information
FrederickP. Brooks,Jr., Mike Falvo,
DavidS. Ebert 771
Kevin Jeffay, Gail Jones,David
40. Art and Science inVisualization Marshburn, StergiosJ. Papadakis,
VictoriaInterrante 781 Lu-ChangQin,Adam Seeger,
F. Donelson Smith, Dianne Sonnenwald,
41. ExploitingHuman Visual
Richard Superfine, Sean Washburn,
Perception inVisualization
Chris Weigle, MaryWhitton,
Alan Chalmers andKirsten Cater 807
Leandra Vicci, Martin Guthold,
Tom Hudson,Philip Williams,
PART XI
and Warren Robinett 893
SelectedTopics and Applications
47. Visualization forComputational
42. ScalableNetwork Visualization
Accelerator Physics
Stephen G. Eick 819
Kwan-LiuMa,Greg Schussman,
43. Visual Data-Mining Techniques and Brett Wilson 919
DanielA. Keim, Mike Sips, and
Mihael Ankerst 831 Index 937
Johnson/Hansen:TheVisualizationHandbook FinalProof 5.10.2004 4:23am pageviii
Contributors
James Ahrens (27, 36) Jim X. Chen (24)
Advanced Computing Laboratory George Mason University
Los Alamos NationalLaboratory Fairfax,Virginia
Los Alamos, New Mexico
Paolo Cignoni (4)
Mihael Ankerst (43) Istituto diScienza e Tecnologie
The Boeing Company dell’Informazione
Seattle, Washington Consiglio Nazionale delle Ricerche
Pisa, Italy
Alan H. Barr (15)
Department ofComputer Science Jonathan D. Cohen (20)
CaliforniaInstitute ofTechnology JohnsHopkinsUniversity
Pasadena, California Baltimore, Maryland
Wes Bethel (29) Matthew D. Cooper (35)
LawrenceBerkeley National Laboratory ManchesterVisualization Centre
Berkeley, California The Universityof Manchester
Manchester,United Kingdom
David Borland (46)
Department ofComputer Science
Roger Crawfis (8)
Universityof NorthCarolina at
The Ohio State University
Chapel Hill
Columbus, Ohio
Chapel Hill, North Carolina
David S. Ebert (39)
J. Dean Brederson (22)
Schoolof Electrical and Computer
Scientific Computing and Imaging Institute
Engineering
Universityof Utah
Purdue University
Salt Lake City, Utah
WestLafayette, Indiana
Frederick P. Brooks, Jr. (46)
Stephen G. Eick (42)
Department ofComputer Science
SSS Research
Universityof NorthCarolina at Chapel Hill
Warrenville,Illinois
Chapel Hill, North Carolina
NationalCenterfor Data Mining
Steve Bryson (21) University of Illinois
NASA Ames Research Center Chicago, Illinois
Moffett Field, California
Gordon Erlebacher (12, 13)
Kirsten Cater (41) Florida State University
Universityof Bristol Tallahassee, Florida
Bristol, United Kingdom
Thomas Ertl (10)
Alan Chalmers (41) Visualization and Interactive Systems Group
Universityof Bristol University of Stuttgart
Bristol, United Kingdom Stuttgart, Germany
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