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Structure Tensor Estimation: Introducing Monomial Quadrature Filter Sets
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, The Institute of Technology. Linköping University, Department of Biomedical Engineering, Medical Informatics.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
2012 (English)In: New Developments in the Visualization and Processing of Tensor Fields / [ed] David H. Laidlaw, Anna Vilanova, Springer, 2012, 3-28 p.Chapter in book (Other academic)
Abstract [en]

   "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."--Publisher's website.

Place, publisher, year, edition, pages
Springer, 2012. 3-28 p.
Series
Mathematics and Visualization, ISSN 1612-3786
Keyword [en]
Mathematics, Computer vision, Computer graphics, Visualization, Computer Imaging, Vision, Pattern Recognition and Graphics.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-78925DOI: 10.1007/978-3-642-27343-8_1ISBN: 978-3-642-27342-1 (print)OAI: oai:DiVA.org:liu-78925DiVA: diva2:536947
Available from: 2012-06-25 Created: 2012-06-25 Last updated: 2014-11-27Bibliographically approved

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Knutsson, HansWestin, Carl-FredrikAndersson, Mats

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CiteExportLink to record
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