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An Adaptive Stereo Algorithm Based on Canonical Correlation Analysis
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9267-2191
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
1998 (English)In: Proceedings of the Second IEEE International Conference on Intelligent Processing Systems: Gold Coast, Austalia, 1998, 177-182 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel algorithm that uses CCA and phase analysis to detect the disparity in stereo images. The algorithm adapts filters in each local neighbourhood of the image in a way which maximizes the correlation between the filtered images. The adapted filters are then analyzed to find the disparity. This is done by a simple phase analysis of the scalar product of the filters. The algorithm can even handle cases where the images have different scales. The algorithm can also handle depth discontinuities and give multiple depth estimates for semi-transparent images.

Place, publisher, year, edition, pages
1998. 177-182 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-21668OAI: oai:DiVA.org:liu-21668DiVA: diva2:245992
Available from: 2009-10-08 Created: 2009-10-05 Last updated: 2014-10-08

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Borga, MagnusKnutsson, Hans

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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
  • html
  • text
  • asciidoc
  • rtf