Scientific Visualization: The Visual Extraction of Knowledge from Data

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 thi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bonneau, Georges-Pierre (Editor ), Ertl, Thomas (Editor ), Nielson, Gregory M. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Mathematics and Visualization,
Temas:
Science-Philosophy.
Information visualization.
Image processing-Digital techniques.
Computer vision.
Mathematics-Data processing.
Philosophy of Science.
Data and Information Visualization.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computational Science and Engineering.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:X, 434 p. 249 illus., 172 illus. in color. online resource.
ISBN:9783540307907
ISSN:2197-666X

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