GPU-Based Interactive Visualization Techniques [electronic resource] /by Daniel Weiskopf.
by Weiskopf, Daniel [author.]; SpringerLink (Online service).
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BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XV, 312 p. 112 illus., 42 in color. online resource.ISBN: 9783540332633.Subject(s): Mathematics | Visualization | Mathematics | VisualizationDDC classification: 004 Online resources: Click here to access online
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Springer eBooksSummary: Scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines. This book focuses on efficient visualization techniques, which are the prerequisite for the interactive exploration of complex data sets. High performance is primarily achieved by devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Other aspects discussed in the book include parallelization on cluster computers with several GPUs, adaptive rendering methods, multi-resolution models, and non-photorealistic rendering techniques for visualization. Covering both the theoretical foundations and practical implementations of algorithms, this book provides the reader with a basis to understand and reproduce modern GPU-based visualization approaches.
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.9.I52 (Browse shelf) | Available |
Browsing MAIN LIBRARY Shelves Close shelf browser
| QA76.9.I52 Scientific Visualization: The Visual Extraction of Knowledge from Data | QA76.9.I52 Visualization and Processing of Tensor Fields | QA76.9.I52 Triangulations and Applications | QA76.9.I52 GPU-Based Interactive Visualization Techniques | QA76.9.I52 Shape Analysis and Structuring | QA76.9.I52 A Theory of Shape Identification | QA76.9.I52 Topology-based Methods in Visualization |
Scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines. This book focuses on efficient visualization techniques, which are the prerequisite for the interactive exploration of complex data sets. High performance is primarily achieved by devising algorithms for the fast graphics processing units (GPUs) of modern graphics hardware. Other aspects discussed in the book include parallelization on cluster computers with several GPUs, adaptive rendering methods, multi-resolution models, and non-photorealistic rendering techniques for visualization. Covering both the theoretical foundations and practical implementations of algorithms, this book provides the reader with a basis to understand and reproduce modern GPU-based visualization approaches.
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