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POI detection using channel clustering and the 2D energy tensor
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-6096-3648
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2004 (English)In: Proceedings of Pattern Recognition, 26th DAGM Symposium / [ed] Carl Edward Rasmussen, Heinrich H. Bülthoff, Bernhard Schölkopf and Martin A. Giese, SpringerLink , 2004, Vol. 3175, 103-110 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we address one of the standard problems of image processing and computer vision: The detection of points of interest (POI). We propose two new approaches for improving the detection results. First, we define an energy tensor which can be considered as a phase invariant extension of the structure tensor. Second, we use the channel representation for robustly clustering the POI information from the first step resulting in sub-pixel accuracy for the localisation of POI. We compare our method to several related approaches on a theoretical level and show a brief experimental comparison to the Harris detector.

Place, publisher, year, edition, pages
SpringerLink , 2004. Vol. 3175, 103-110 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 3175
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-48281DOI: 10.1007/978-3-540-28649-3_13ISBN: 3-540-22945-0 (print)OAI: oai:DiVA.org:liu-48281DiVA: diva2:269177
Conference
The 26th DAGM Symposium, August 30 - September 1, Tübingen, Germany
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2016-05-04Bibliographically approved

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Felsberg, MichaelGranlund, Gösta

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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