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

Torsten Möller, Bernd Hamann, Robert D. Russell (Herausgeber)

Buch | Softcover

X, 350 Seiten

2010 | Softcover reprint of hardcover 1st ed. 2009
Springer Berlin (Verlag)
978-3-642-06414-2 (ISBN)

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Here is a summary of cutting-edge research ideas on visualization presented at a key workshop in Banff, Canada, where new algorithms were discussed based on sophisticated modeling techniques that permit the extraction of high-level topological structures.

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.

Maximizing Adaptivity in Hierarchical Topological Models Using Cancellation Trees.- The TOPORRERY: computation and presentation of multi-resolution topology.- Isocontour based Visualization of Time-varying Scalar Fields.- DeBruijn Counting for Visualization Algorithms.- Topological Methods for Visualizing Vortical Flows.- Stability and Computation of Medial Axes - a State-of-the-Art Report.- Local Geodesic Parametrization: an Ant's Perspective.- Tensor-Fields Visualization Using a Fabric-like Texture Applied to Arbitrary Two-dimensional Surfaces.- Flow Visualization via Partial Differential Equations.- Iterative Twofold Line Integral Convolution for Texture-Based Vector Field Visualization.- Constructing 3D Elliptical Gaussians for Irregular Data.- From Sphere Packing to the Theory of Optimal Lattice Sampling.- Reducing Interpolation Artifacts by Globally Fairing Contours.- Time- and Space-efficient Error Calculation for Multiresolution Direct Volume Rendering.- Massive Data Visualization: A Survey.- Compression and Occlusion Culling for Fast Isosurface Extraction from Massive Datasets.- Volume Visualization of Multiple Alignment of Large Genomic DNA.- Model-based Visualization - Computing Perceptually Optimal Visualizations.

Erscheint lt. Verlag	22.10.2010
Reihe/Serie	Mathematics and Visualization
Zusatzinfo	X, 350 p. 183 illus., 134 illus. in color.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	541 g
Themenwelt	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Analysis
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	3D • algorithms • Alignment • Computer • Computer Graphics • massive data exploration • Mathematical Modeling • Modeling • PDE methods • Rendering • Sets • stability • Topology • Visualization
ISBN-10	3-642-06414-0 / 3642064140
ISBN-13	978-3-642-06414-2 / 9783642064142
Zustand	Neuware