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Orientation and Velocity
Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, The Institute of Technology.
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.
1995 (English)In: Signal Processing for Computer Vision / [ed] Gösta H. Granlund and Hans Knutsson, Dordrecht: Kluwer , 1995, 219-258 p.Chapter in book (Refereed)
Abstract [en]

This chapter introduces the use of tensors in estimation of local structure and orientation. The tensor representation is shown to be crucial to unambiguous and continuous representation of local orientation in multiple dimensions. In addition to orientation the tensor representation also conveys the degree and type of local anisotropy. The orientation estimation approach is developed in detail for two, three and four dimensions and is shown to be extendable to higher dimensions. Examples and performance measures are given for processing of images, volumes and time sequences.

Place, publisher, year, edition, pages
Dordrecht: Kluwer , 1995. 219-258 p.
Keyword [en]
Computer vision, Biological vision, Vision structure, Adaptive filtering
Keyword [sv]
Seende datorer, Databehandling Bildbehandling
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-66935ISBN: 0-7923-9530-1 (print)ISBN: 978-0-7923-9530-0 (print)OAI: oai:DiVA.org:liu-66935DiVA: diva2:405403
Available from: 2011-03-22 Created: 2011-03-22 Last updated: 2014-04-16Bibliographically approved

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Signal Processing for Computer Vision

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Knutsson, HansAndersson, MatsWiklund, Johan

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