The visualization handbook

• Συγγραφή απο Οργανισμό/Αρχή: ScienceDirect (Online service)
• Άλλοι συγγραφείς: Hansen, Charles D, Johnson, Chris R
• Μορφή: Ηλεκτρονική πηγή Βιβλίο
• Γλώσσα: English
• Έκδοση: Amsterdam Boston Elsevier-Butterworth Heinemann c2005
• Θέματα: Πληροφοριακά συστήματα; Computer graphics; Grafische voorstellingen; Visualisatie; Μεθοδολογία

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 t...

Πίνακας περιεχομένων:

• 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. NAGs 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
• Part I. Introduction
• Part II. Scalar field visualization: isosurfaces
• Part III. Scalar field visualization: volume rendering
• Part IV. Vector field visualization
• Part V. Tensor field visualization
• Part VI. Geometric modeling for visualization
• Part VII. Virtual environments for visualization
• Part VIII. Large-scale data visualization
• Part IX. Visualization software and frameworks
• Part X. Perceptual issues in visualization
• Part XI. Selected topics and applications