Format:
Online-Ressource (1 PDF (xii, 109 pages))
,
illustrations.
ISBN:
9781627054874
Series Statement:
Synthesis lectures on visualization # 8
Content:
Acknowledgments -- Figure credits -- 1. Introduction: 1.1. Scope of this lecture; 1.2. Related topics beyond the scope -- 2. History -- 3. GPU-based glyph ray casting: 3.1. Fragment-based ray casting; 3.2. Silhouette approximation; 3.3. Geometry generation -- 4. Acceleration strategies: 4.1. Optimized data upload; 4.2. Support geometry generation; 4.3. Particle culling techniques -- 5. Data structures: 5.1. Uniform grids for molecular dynamics data; 5.2. Hierarchical data structures -- 6. Efficient nearest neighbor search on the GPU -- 7. Improved visual quality: 7.1. Deferred shading; 7.2. Ambient occlusion -- 8. Application-driven abstractions: 8.1. Spline representations; 8.2. Particle surfaces; 8.3. Clustering and aggregation -- 9. Summary and outlook -- Bibliography -- Authors' biographies
Content:
Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle based data. Particle data typically originates from measurements and simulations in various fields, such as life sciences or physics. The particles are often visualized directly, that is, by simple representants like spheres. Interactive rendering facilitates the exploration and visual analysis of the data. With increasing data set sizes in terms of particle numbers, interactive high-quality visualization is a challenging task. This is especially true for dynamic data or abstract representations that are based on the raw particle data. This book covers direct particle visualization using simple glyphs as well as abstractions that are application-driven such as clustering and aggregation. It targets visualization researchers and developers who are interested in visualization techniques for large, dynamic particle-based data. Its explanations focus on GPU-accelerated algorithms for high-performance rendering and data processing that run in real-time on modern desktop hardware. Consequently, the implementation of said algorithms and the required data structures to make use of the capabilities of modern graphics APIs are discussed in detail. Furthermore, it covers GPU-accelerated methods for the generation of application-dependent abstract representations. This includes various representations commonly used in application areas such as structural biology, systems biology, thermodynamics, and astrophysics
Note:
Part of: Synthesis digital library of engineering and computer science. - Includes bibliographical references (pages 101-108). - Compendex. INSPEC. Google scholar. Google book search. - Title from PDF title page (viewed on October 21, 2016)
Additional Edition:
ISBN 9781627052856
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 978-1-62705-285-6
Language:
English
Author information:
Reina, Guido
Bookmarklink