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＜E-Book＞
New Developments in the Visualization and Processing of Tensor Fields / edited by David H. Laidlaw, Anna Vilanova
(Mathematics and Visualization. ISSN:2197666X)

Edition	1st ed. 2012.
Publisher	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
Year	2012
Language	English
Size	XXI, 384 p. 153 illus., 129 illus. in color : online resource
Authors	Laidlaw, David H editor Vilanova, Anna editor SpringerLink (Online service)
Subjects	LCSH:Information visualization LCSH:Image processing -- Digital techniques  All Subject Search LCSH:Computer vision LCSH:Computer graphics FREE:Data and Information Visualization FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computer Graphics
Notes	Part I Structure-Tensor Computation -- Part II Tensor-Field Visualization -- Part III Applications of Tensor-Field Analysis and Visualization -- Part IV Diffusion Weighted MRI Visualization -- Part V Beyond Second-Order Diffusion Tensor MRI -- Part VI Tensor Metrics -- Part VII Tensor Analysis Bringing together key researchers in disciplines ranging from visualization and image processing to applications in structural mechanics, fluid dynamics, elastography, and numerical mathematics, the workshop that generated this edited volume was the third in the successful Dagstuhl series. Its aim, reflected in the quality and relevance of the papers presented, was to foster collaboration and fresh lines of inquiry in the analysis and visualization of tensor fields, which offer a concise model for numerous physical phenomena. Despite their utility, there remains a dearth of methods for studying all but the simplest ones, a shortage the workshops aim to address.   Documenting the latest progress and open research questions in tensor field analysis, the chapters reflect the excitement and inspiration generated  by this latest Dagstuhl workshop, held in July 2009. The topics they address range from applications of the analysis of tensor fields to purer research into their mathematical and analytical properties. They show how cooperation and the sharing of ideas and data between those engaged in pure and applied research can open new vistas in the study of tensor fields HTTP:URL=https://doi.org/10.1007/978-3-642-27343-8

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