The visualization handbook
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...
| Άλλοι συγγραφείς: | Hansen, Charles D., Johnson, Chris R. |
|---|---|
| Μορφή: | Ηλεκτρονική πηγή |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Amsterdam ; Boston :
Elsevier-Butterworth Heinemann,
c2005.
|
| Θέματα: | |
| Διαθέσιμο Online: |
http://www.sciencedirect.com/science/book/9780123875822 |
| Ετικέτες: |
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|---|---|---|---|
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| 020 | |a 9780123875822 | ||
| 020 | |a 012387582X | ||
| 020 | |a 0080481647 (electronic bk.) | ||
| 020 | |a 9780080481647 (electronic bk.) | ||
| 035 | |l 48372 | ||
| 040 | |a OPELS |b eng |c OPELS |d BAKER |d OCLCQ |d MERUC |d SINTU |d IDEBK |d OCLCQ |d OCLCF |d GR-PeUP | ||
| 245 | 0 | 4 | |a The visualization handbook |h [electronic resource] / |c edited by Charles D. Hansen, Chris R. Johnson. |
| 260 | |a Amsterdam ; |a Boston : |b Elsevier-Butterworth Heinemann, |c c2005. | ||
| 300 | |a 1 online resource (xvii, 962 p.) : |b ill. | ||
| 520 | |a 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 whos 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. * 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. | ||
| 505 | 0 | |a 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. | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 2 | |a 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. | |
| 650 | 4 | |a Information visualization. | |
| 650 | 4 | |a Computer graphics. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Hansen, Charles D. | |
| 700 | 1 | |a Johnson, Chris R. | |
| 852 | |a INST |b UNIPILB |c EBOOKS |e 20140827 |p 00b48372 |q 00b48372 |t ONLINE |y 0 | ||
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