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Patch-Duplets for Object Recognition and Pose Estimation
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)Report (Other academic)
Abstract [en]

This report describes a view-based method for object recognition and estimation of object pose in still images. The method is based on feature vector matching and clustering. A set of interest points, in this case star-patterns, is detected and combined into pairs. A pair of patches, centered around each point in the pair, is extracted from a local orientation image. The patch orientation and size depends on the relative positions of the points, which make them invariant to translation, rotation, and scale. Each pair of patches constitutes a feature vector. The method is demonstrated on a number of real images.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 2003. , 31 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2553
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-36326ISRN: LiTH-ISY-R-2553Local ID: 30984OAI: oai:DiVA.org:liu-36326DiVA: diva2:257174
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-08-28Bibliographically approved

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fulltext(2674 kB)172 downloads
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MOVIE: Object Recognition and pose estimation using local features(13914 kB)35 downloads
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Johansson, BjörnMoe, Anders

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • 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
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  • asciidoc
  • rtf