Scientific Visualization Uncertainty, Multifield, Biomedical, and Scalable Visualization /

Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization. • Uncertainty visuali...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Hansen, Charles D. (Editor ), Chen, Min (Editor ), Johnson, Christopher R. (Editor ), Kaufman, Arie E. (Editor ), Hagen, Hans (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Mathematics and Visualization,
Temas:
Information visualization.
Image processing-Digital techniques.
Computer vision.
Computer graphics.
Data and Information Visualization.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer Graphics.
Acceso en línea:Texto Completo
Descripción
Sumario:Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization. • Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation, • Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets, • Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications, • Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms. Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
Descripción Física:XVII, 400 p. 117 illus., 107 illus. in color. online resource.
ISBN:9781447164975
ISSN:2197-666X

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