This book emerged from a DoE/NSF-sponsored workshop, held in Tahoe City, California, October 2000. About fifty invited participants presented state-of-the-art research on topics such as: - terrain modeling - multiresolution subdivision - wavelet-based scientific data compression - topology-based visualization - data structures, data organization and indexing schemes for scientific data visualization. All invited papers were carefully refereed, resulting in this collection. The book will be of great interest to researchers, graduate students and professionals dealing with scientific visualization and its applications.

The nature of the physical Universe has been increasingly better understood in recent years, and cosmological concepts have undergone a rapid evolution (see, e.g., [11], [2],or [5]). Although there are alternate theories, it is generally believed that the large-scale relationships and homogeneities that we see can only be explainedby having the universe expand suddenlyin a very early in?ationary period. Subsequent evolution of the Universe is described by the Hubble expansion, the observation that the galaxies are ?ying away from each other. We can attribute di?erent rates of this expansion to domination of di?erent cosmological processes, beginning with radiation, evolving to matter domination, and, relatively recently, to vacuum domination (the Cosmological Constant term)[4]. We assume throughout that we will be relying as much as possible on observational data, with simulations used only for limited purposes, e.g., the appearance of the Milky Wayfrom nearbyintergalactic viewpoints. The visualization of large-scale astronomical data sets using?xed, non-interactive animations has a long history. Several books and ?lms exist, ranging from Cosmic View: The Universe in Forty Jumps [3] by Kees Boeke to Powers of 10 [6,13] by Charles and Ray Eames, and the recent Imax ?lm Cosmic Voyage [15]. We have added our own contribution [9], Cosmic Clock, which is an animation based entirely on the concepts and implementation described in this paper.

Top quality selection in a field which has a booming applications side Includes supplementary material: sn.pub/extras

Autorentext
Hans Hagen is heading the research group for Computer Graphics and Computer Geometry at the University of Kaiserslautern, Germany, and is Scientific Director of the research lab Intelligent Visualization and Simulation at the German Research Center for Artificial Intelligence (DFKI). His research domains are geometric modeling and scientific visualization.

Inhalt
Dataflow and Remapping for Wavelet Compression and View-dependent Optimization of Biflion-triangle Isosurfaces.- Extraction of Crack-free Isosurfaces from Adaptive Mesh Refinement Data.- Edgebreaker on a Corner Table: A Simple Technique for Representing and Compressing Triangulated Surfaces.- Efficient Error Calculation for Multiresolution Texture-based Volume Visualization.- Hierarchical Spline Approximations.- Terrain Modeling Using Voronoi Hierarchies.- Multiresolution Representation of Datasets with Material Interfaces.- Approaches to Interactive Visualization of Large-scale Dynamic Astrophysical Environments.- Data Structures for Multiresolution Representation of Unstructured Meshes.- Scaling the Topology of Symmetric, Second-Order Planar Tensor Fields.- Simplification of Nonconvex Tetrahedral Meshes.- A Framework for Visualizing Hierarchical Computations.- Virtual-Reality Based Interactive Exploration of Multiresolution Data.- Hierarchical Indexing for Out-of-Core Access to Multi-Resolution Data.- Mesh Fairing Based on Harmonic Mean Curvature Surfaces.- Shape Feature Extraction.- Network-based Rendering Techniques for Large-scale Volume Data Sets.- A Data Model for Distributed Multiresolution Multisource Scientific Data.- Adaptive Subdivision Schemes for Triangular Meshes.- Hierarchical Image-based and Polygon-based Rendering for Large-Scale Visualizations.- Appendix: Color Plates.