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Local Curvature from Gradients of the Orientation Tensor Field
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1995 (English)Report (Other academic)
Abstract [en]

This paper presents an algorithm for estimation of local curvature from gradients of a tensor field that represents local orientation. The algorithm is based on an operator representation of the orientation tensor, which means that change of local orientation corresponds to a rotation of the eigenvectors of the tensor. The resulting curvature descriptor is a vector that points in the direction of the image in which the local orientation rotates anti-clockwise and the norm of the vector is the inverse of the radius of curvature. Two coefficients are defined that relate the change of local orientation with either curves or radial patterns.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University, Department of Electrical Engineering , 1995. , 9 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 1783
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-53322ISRN: LiTH-ISY-R-1783OAI: oai:DiVA.org:liu-53322DiVA: diva2:288599
Available from: 2010-01-21 Created: 2010-01-20 Last updated: 2014-10-08Bibliographically approved

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Nordberg, KlasKnutsson, HansGranlund, Gösta

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf