Visualization Handbook

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).

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 – 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 – The Visualization Toolkit by Schroeder and MartinChapter 2. Visualization in the SCIRun Problem Solving Environment by Parker et al. Chapter 3. NAG’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