Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
Visualization is one of the most active and exciting areas of Mathematics and Computing Science, and indeed one which is only beginning to mature. Current visualization algorithms break down for very large data sets. While present approaches use multi-resolution ideas, future data sizes will not be...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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| Σειρά: | Mathematics and Visualization,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
