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Vector and Tensor Field Filtering
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1995 (English)In: Signal Processing for Computer Vision / [ed] Gösta H. Granlund and Hans Knutsson, Dordrecht: Kluwer , 1995, Vol. 2749, p. 343-365Chapter in book (Refereed)
Abstract [en]

This chapter discusses techniques for processing of higher order data such as vector and tensor fields. As abstraction implies a more complex descriptor, developing methods for processing of higher order data is an essential part of any hierarchical or layered approach to vision. The chapter focuses on models for extracting local symmetries and discontinuities in higher order fields.

Place, publisher, year, edition, pages
Dordrecht: Kluwer , 1995. Vol. 2749, p. 343-365
Keywords [en]
Computer vision, Biological vision, Vision structure, Adaptive filtering
Keywords [sv]
Seende datorer, Databehandling Bildbehandling
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-66940ISBN: 0-7923-9530-1 (print)ISBN: 978-0-7923-9530-0 (print)OAI: oai:DiVA.org:liu-66940DiVA, id: diva2:405412
Available from: 2011-03-22 Created: 2011-03-22 Last updated: 2014-05-08Bibliographically approved

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Signal Processing for Computer Vision

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Westin, Carl-Fredrik

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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