liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
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
A Framework for Estimation of Orientation and Velocity
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.
2003 (English)In: International Conference on Image Processing (ICIP): Barcelona, Spain, 2003Conference paper, Published paper (Refereed)
Abstract [en]

The paper makes a short presentation of three existing methods for estimation of orientation tensors, the so-called structure tensor, quadrature filter based techniques, and techniques based on approximating a local polynomial model. All three methods can be used for estimating an orientation tensor which in the 3D case can be used for motion estimation. The methods are based on rather different approaches in terms of the underlying signal models. However, they produce more or less similar results which indicates that there should be a common framework for estimation of the tensors. Such a framework is proposed, in terms of a second order mapping from signal to tensor with additional conditions on the mapping. It it also shown that the three methods in principle fall into this framework.

Place, publisher, year, edition, pages
2003.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21603DOI: 10.1109/ICIP.2003.1247180ISBN: 0-7803-7750-8 (print)OAI: oai:DiVA.org:liu-21603DiVA: diva2:241568
Available from: 2009-10-05 Created: 2009-10-05 Last updated: 2010-01-21

Open Access in DiVA

fulltext(54 kB)254 downloads
File information
File name FULLTEXT01.pdfFile size 54 kBChecksum SHA-512
bdcea5d9a0b171667afe8105a36906e8a0bb374d7126dbbc6306f8cf974f8c2f20d14fa76e1fe05ce3ee8e1fbae75cfc8f9b1886189f665b4d6873f4765b6006
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Nordberg, KlasFarnebäck, Gunnar

Search in DiVA

By author/editor
Nordberg, KlasFarnebäck, Gunnar
By organisation
Computer VisionThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 254 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 358 hits
CiteExportLink to record
Permanent link

Direct link
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