Scientific Visualization: The Visual Extraction of Knowledge from Data için kapak resmi
Scientific Visualization: The Visual Extraction of Knowledge from Data
Standart Tanımlama:
Yayın Bilgileri:
Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.
Fiziksel Tanımlama:
X, 434 p. 249 illus., 172 illus. in color. online resource.
Mathematics and Visualization,
Adaptive Contouring with Quadratic Tetrahedra -- On the Convexification of Unstructured Grids from a Scientific Visualization Perspective -- Brain Mapping Using Topology Graphs Obtained by Surface Segmentation -- Computing and Displaying Intermolecular Negative Volume for Docking -- Optimized Bounding Polyhedra for GPU-Based Distance Transform -- Generating, Representing and Querying Level-Of-Detail Tetrahedral Meshes -- Split’ N Fit: Adaptive Fitting of Scattered Point Cloud Data -- Ray Casting with Programmable Graphics Hardware -- Volume Exploration Made Easy Using Feature Maps -- Fantastic Voyage of the Virtual Colon -- Volume Denoising for Visualizing Refraction -- Emphasizing Isosurface Embeddings in Direct Volume Rendering -- Diagnostic Relevant Visualization of Vascular Structures -- Clifford Convolution and Pattern Matching on Irregular Grids -- Fast and Robust Extraction of Separation Line Features -- Fast Vortex Axis Calculation Using Vortex Features and Identification Algorithms -- Topological Features in Vector Fields -- Generalizing Focus+Context Visualization -- Rule-based Morphing Techniques for Interactive Clothing Catalogs -- A Practical System for Constrained Interactive Walkthroughs of Arbitrarily Complex Scenes -- Component Based Visualisation of DIET Applications -- Facilitating the Visual Analysis of Large-Scale Unsteady Computational Fluid Dynamics Simulations -- Evolving Dataflow Visualization Environments to Grid Computing -- Earthquake Visualization Using Large-scale Ground Motion and Structural Response Simulations.
How to master, organize and extract useful knowledge from the overwhelming flow of information made available by today’s data acquisition systems and computing resources has become one of the greatest scientific challenges of the 21st century. Visualization is the premium means of taking up this challenge. This book is based on selected lectures given by leading experts in scientific visualization during a workshop held at Schloss Dagstuhl, Germany. Topics include user issues in visualization, large data visualization, unstructured mesh processing for visualization, volumetric visualization, flow visualization, medical visualization and visualization systems. The book contains more than 350 color illustrations.


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