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Two Multimodal Image Registration Approaches for Positioning Purposes
Linköping University, Department of Electrical Engineering, Computer Vision.
Linköping University, Department of Electrical Engineering, Computer Vision.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This report is the result of a master thesis made by two students at Linköping University. The aim was to find an image registration method for visual and infrared images and to find an error measure for grading the registration performance. In practice this could be used for position determination by registering the infrared image taken at the current position to a set of visual images with known positions and determining which visual image matches the best. Two methods were tried, using different image feature extractors and different ways to match the features. The first method used phase information in the images to generate soft features and then minimised the square error of the optical flow equation to estimate the transformation between the visual and infrared image. The second method used the Canny edge detector to extract hard features from the images and Chamfer distance as an error measure. Both methods were evaluated for registration as well as position determination and yielded promising results. However, the performance of both methods was image dependent. The soft edge method proved to be more robust and precise and worked better than the hard edge method for both registration and position determination.

Place, publisher, year, edition, pages
2019. , p. 97
Keywords [en]
multimodal registration, IR, visual, positioning
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-157424ISRN: LiTH-ISY-EX--19/5208--SEOAI: oai:DiVA.org:liu-157424DiVA, id: diva2:1323680
External cooperation
Saab Dynamics
Subject / course
Computer Vision Laboratory
Presentation
2019-06-05, Systemet, Linköpings universitet 581 83 Linköping, Linköping, 13:15 (English)
Supervisors
Examiners
Available from: 2019-06-13 Created: 2019-06-12 Last updated: 2019-06-13Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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