MATHEMATICAL FOUNDATIONS OF SCIENTIFIC VISUALIZATION, COMPUTER GRAPHICS, AND MASSIVE DATA EXPLORATION

The goal of visualization is the accurate, interactive, and intuitive presentation of data. Complex numerical simulations, high-resolution imaging devices and increasingly common environment-embedded sensors are the primary generators of massive data sets. Being able to derive scientific 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-artresearch papers included in this book focus on continuous data models, such as is common in medical imaging or computational modeling.

CONTENTS

1. Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees
2. The Toporrery: Computation and Presentation of Multiresolution Topology
3. Isocontour Based Visualization of Time-Varying Scalar Fields
4. DeBruijn Counting for Visualization Algorithms
5. TopologicalMethods for Visualizing Vortical Flows
6. Stability and Computation of Medial Axes: A State-of-the-Art Report
7. Local Geodesic Parametrization: An Ant’s Perspective
8. Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces
9. Flow Visualization via Partial Differential Equations
10. Iterative Twofold Line Integral Convolution for Texture-Based Vector Field Visualization
11. Constructing 3D Elliptical Gaussians for Irregular Data
12. From Sphere Packing to the Theory of Optimal Lattice Sampling
13. Reducing Interpolation Artifacts by Globally Fairing Contours
14. Time- and Space-Efficient Error Calculation for Multiresolution Direct Volume Rendering
15. Massive Data Visualization: A Survey
16. Compression and Occlusion Culling for Fast Isosurface Extraction fromMassive Datasets
17. Volume Visualization of Multiple Alignment of Large Genomic DNA
18. Model-Based Visualization: Computing Perceptually Optimal Visualizations

Páginas : 360
Peso : 8mb.
Formato : PDF.
Edición : Primera
Año de Publicación :2009
ISBN : 978-3642064142
Editorial : Springer
Autor Torsten Möller, Bernd Hamann


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