Focus on Scientific Visualization
Focus on Scientific Visualization

Author: Hans Hagen

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 394

ISBN-13: 3642771653

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One of the important issues of Scientific Visualization is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes and simulations involving voluminous data sets across diverse scientific disciplines. This book presents the state-of-the-art in visualization techniques both as an overview for the inquiring scientist, and as a solid platform from which developers may extend existing techniques or devise new ones to meet the specific needs of their problems. A secondary goal in crafting this volume has been to provide a vehicle for teaching of state-of-the-art techniques in scientific visualization. The first part of the book covers the application areas fluid flow visualization in medicine, and environmental protection. The second set of chapters explain fundamentals of scientific visualization. It comprises contributions on data structuring and data administration, data modeling, and rendering. A final section is devoted to auditory representation of scientific data.

Focus on Scientific Visualization
Focus on Scientific Visualization

Author: Hans Hagen

Publisher: Springer

Published: 1993-04-27

Total Pages: 0

ISBN-13: 9783540549406

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One of the important issues of Scientific Visualization is the utilization of the broad bandwidth of the human sensory system in steering and interpreting complex processes and simulations involving voluminous data sets across diverse scientific disciplines. This book presents the state-of-the-art in visualization techniques both as an overview for the inquiring scientist, and as a solid platform from which developers may extend existing techniques or devise new ones to meet the specific needs of their problems. A secondary goal in crafting this volume has been to provide a vehicle for teaching of state-of-the-art techniques in scientific visualization. The first part of the book covers the application areas fluid flow visualization in medicine, and environmental protection. The second set of chapters explain fundamentals of scientific visualization. It comprises contributions on data structuring and data administration, data modeling, and rendering. A final section is devoted to auditory representation of scientific data.

Advances in Scientific Visualization
Advances in Scientific Visualization

Author: Frits H. Post

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 220

ISBN-13: 3642773346

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Scientific visualization is a new and rapidly growing area in which efforts from computer graphics research and many scientific and engineering disciplines are integrated. Its aim is to enhance interpretation and understanding by scientists of large amounts of data from measurements or complex computer simulations, using computer generated images and animation sequences. It exploits the power of human visual perception to identify trends and structures, and recognize shapes and patterns. Development of new numerical simulation methods in many areas increasingly depends on visualization as an effective way to obtain an intuitive understanding of a problem. This book contains a selection of papers presented at the second Eurographics workshop on Visualization in Scientific Computing, held in Delft, the Netherlands, in April 1991. Theissues addressed are visualization tool and system design, new presentation techniques for volume data and vector fields, and numerous case studies in scientific visualization. Application areas include geology, medicine, fluid dynamics, molecular science, and environmental protection. The book will interest researchers and students in computer graphics and scientists from many disciplines interested in recent results in visual data analysis and presentation. It reflects the state of the art in visualization research and shows a wide variety of experimental systems and imaginative applications.

High Performance Visualization
High Performance Visualization

Author: E. Wes Bethel

Publisher: CRC Press

Published: 2012-10-25

Total Pages: 520

ISBN-13: 1439875731

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Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi

Scientific Visualization: The Visual Extraction of Knowledge from Data
Scientific Visualization: The Visual Extraction of Knowledge from Data

Author: Georges-Pierre Bonneau

Publisher: Springer Science & Business Media

Published: 2006-01-20

Total Pages: 429

ISBN-13: 3540307907

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One of the greatest scientific challenges of the 21st century is how to master, organize and extract useful knowledge from the overwhelming flow of information made available by today’s data acquisition systems and computing resources. Visualization is the premium means of taking up this challenge. This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems. The book contains more than 350 color illustrations.

Visualization in Scientific Computing
Visualization in Scientific Computing

Author: Michel Grave

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 222

ISBN-13: 3642779026

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Visualization in scientific computing is getting more and more attention from many people. Especially in relation with the fast increase of com puting power, graphic tools are required in many cases for interpreting and presenting the results of various simulations, or for analyzing physical phenomena. The Eurographics Working Group on Visualization in Scientific Com puting has therefore organized a first workshop at Electricite de France (Clamart) in cooperation with ONERA (Chatillon). A wide range of pa pers were selected in order to cover most of the topics of interest for the members of the group, for this first edition, and 26 of them were presented in two days. Subsequently 18 papers were selected for this volume. 1'he presentations were organized in eight small sessions, in addition to discussions in small subgroups. The first two sessions were dedicated to the specific needs for visualization in computational sciences: the need for graphics support in large computing centres and high performance net works, needs of research and education in universities and academic cen tres, and the need for effective and efficient ways of integrating numerical computations or experimental data and graphics. Three of those papers are in Part I of this book. The third session discussed the importance and difficulties of using stan dards in visualization software, and was related to the fourth session where some reference models and distributed graphics systems were discussed. Part II has five papers from these sessions.

Scientific Visualization of Physical Phenomena
Scientific Visualization of Physical Phenomena

Author: Nicholas M. Patrikalakis

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 669

ISBN-13: 4431681590

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Scientific Visualization of Physical Phenomena reflects the special emphasis of the Computer Graphics Society's Ninth International Conference, held at the MIT in Cambridge, Massachusetts, USA in June, 1991. This volume contains the proceedings of the conference, which, since its foundation in 1983, continues to attract high quality research articles in all aspects of Computer Graphics and its applications. Visualization in science and engineering is rapidly developing into a vital area because of its potential for significantly contributing to the understanding of physical processes and the design automation of man-made systems. With the increasing emphasis in handling complicated physical and artificial processes and systems and with continuing advances in specialized graphics hardware and processing software and algorithms, visualization is expected to play an increasingly dominant role in the foreseeable future.

Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration

Author: Torsten Möller

Publisher: Springer Science & Business Media

Published: 2009-06-12

Total Pages: 348

ISBN-13: 3540499261

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The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and incre- ingly common environment-embedded sensors are the primary generators of m- sive data sets. Being able to derive scienti?c insight from data increasingly depends on having mathematical and perceptual models to provide the necessary foundation for effective data analysis and comprehension. The peer-reviewed state-of-the-art research papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling. From the viewpoint of a visualization scientist, we typically collaborate with an application scientist or engineer who needs to visually explore or study an object which is given by a set of sample points, which originally may or may not have been connected by a mesh. At some point, one generally employs low-order piecewise polynomial approximationsof an object, using one or several dependent functions. In order to have an understanding of a higher-dimensional geometrical “object” or function, ef?cient algorithms supporting real-time analysis and manipulation (- tation, zooming) are needed. Often, the data represents 3D or even time-varying 3D phenomena (such as medical data), and the access to different layers (slices) and structures (the underlying topology) comprising such data is needed.