Ebook: GPU-Based Interactive Visualization Techniques

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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Scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines.

This book focuses on efficient visualization techniques, a clear prerequisite for the interactive exploration of complex data sets. Achieving high performance is demonstrated as a process of 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. Thoroughly exploring both the theoretical foundations and practical implementations of algorithms, this book provides the reader with a basis for understanding modern GPU-based visualization approaches -- and reproducing the results.

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Scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines.

This book focuses on efficient visualization techniques, a clear prerequisite for the interactive exploration of complex data sets. Achieving high performance is demonstrated as a process of 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. Thoroughly exploring both the theoretical foundations and practical implementations of algorithms, this book provides the reader with a basis for understanding modern GPU-based visualization approaches -- and reproducing the results.

Content:
Front Matter....Pages i-xv
Introduction....Pages 1-9
Visualization of 3D Scalar Fields....Pages 11-79
Vector Field Visualization....Pages 81-159
Perception-Oriented and Non-Photorealistic Rendering....Pages 161-235
Conclusion....Pages 237-239
Back Matter....Pages 241-312

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Scientific visualization has become an important tool for visual analysis in many scientific, engineering, and medical disciplines.

This book focuses on efficient visualization techniques, a clear prerequisite for the interactive exploration of complex data sets. Achieving high performance is demonstrated as a process of 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. Thoroughly exploring both the theoretical foundations and practical implementations of algorithms, this book provides the reader with a basis for understanding modern GPU-based visualization approaches -- and reproducing the results.

Content:
Front Matter....Pages i-xv
Introduction....Pages 1-9
Visualization of 3D Scalar Fields....Pages 11-79
Vector Field Visualization....Pages 81-159
Perception-Oriented and Non-Photorealistic Rendering....Pages 161-235
Conclusion....Pages 237-239
Back Matter....Pages 241-312
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