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Paying Attention to Symmetry
Faculty of Mathematics and Natural Sciences, University of Groningen, The Netherlands. (Artificial Intelligence)
Faculty of Mathematics and Natural Sciences, University of Groningen, The Netherlands. (Artificial Intelligence)
Faculty of Mathematics and Natural Sciences, University of Groningen, The Netherlands. (Artificial Intelligence)
2008 (English)In: Proceedings of the British Machine Vision Conference (BMVC2008), The British Machine Vision Association and Society for Pattern Recognition , 2008, 1115-1125 p.Conference paper, Published paper (Refereed)
Abstract [en]

Humans are very sensitive to symmetry in visual patterns. Symmetry is detected and recognized very rapidly. While viewing symmetrical patterns eye fixations are concentrated along the axis of symmetry or the symmetrical center of the patterns. This suggests that symmetry is a highly salient feature. Existing computational models of saliency, however, have mainly focused on contrast as a measure of saliency. These models do not take symmetry into account. In this paper, we discuss local symmetry as measure of saliency. We developed a number of symmetry models an performed an eye tracking study with human participants viewing photographic images to test the models. The performance of our symmetry models is compared with the contrast saliency model of Itti et al. [1]. The results show that the symmetry models better match the human data than the contrast model. This indicates that symmetry is a salient structural feature for humans, a finding which can be exploited in computer vision.

Place, publisher, year, edition, pages
The British Machine Vision Association and Society for Pattern Recognition , 2008. 1115-1125 p.
Keyword [en]
Saliency Methods, Prediction of Eye Movements, Symmetry Detection
National Category
Robotics Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-47173ISBN: 978-1-901725-36-0 (print)OAI: oai:DiVA.org:kth-47173DiVA: diva2:454607
Conference
British Machine Vision Conference (BMVC2008)
Note
QC 20111115Available from: 2011-11-15 Created: 2011-11-07 Last updated: 2011-11-15Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • Other locale
More languages
Output format
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