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Learning Relative Photometric Differences of Pairs of Cameras
Goethe University, Germany.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering. Goethe University, Germany.
2015 (English)In: 2015 12TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS), IEEE , 2015Conference paper, Published paper (Refereed)
Abstract [en]

We present an approach to learn relative photometric differences between pairs of cameras, which have partially overlapping fields of views. This is an important problem, especially in appearance based methods to correspondence estimation or object identification in multi-camera systems where grey values observed by different cameras are processed. We model intensity differences among pairs of cameras by means of a low order polynomial (Gray Value Transfer Function - GVTF) which represents the characteristic curve of the mapping of grey values, s(i) produced by camera C-i to the corresponding grey values s(j) acquired with camera C-j. While the estimation of the GVTF parameters is straightforward once a set of truly corresponding pairs of grey values is available, the non trivial task in the GVTF estimation process solved in this paper is the extraction of corresponding grey value pairs in the presence of geometric and photometric errors. We also present a temporal GVTF update scheme to adapt to gradual global illumination changes, e.g., due to the change of daylight.

Place, publisher, year, edition, pages
IEEE , 2015.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-133026DOI: 10.1109/AVSS.2015.7301762ISI: 000380619700042ISBN: 978-1-4673-7632-7 (print)OAI: oai:DiVA.org:liu-133026DiVA: diva2:1054654
Conference
12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Available from: 2016-12-08 Created: 2016-12-07 Last updated: 2016-12-08

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Mester, Rudolf
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf