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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 20th Belgium-Netherlands Artificial Intelligence Conference (BNAIC 2008), University of Twente Publications , 2008Conference paper, Published paper (Refereed)
Abstract [en]

Humans are very sensitive to symmetry in visual patterns. Symmetry is detected and recognized very rapidly, and 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 a measure of saliency. We developed a number of symmetry models and performed an eye-tracking study with human participants viewing photographic images to test the models. The results show that the symmetry models better match the human data than the contrast saliency model of Itti, Koch and Niebur [1]. 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
University of Twente Publications , 2008.
Keyword [en]
Saliency Methods, Prediction of Eye Movements, Symmetry Detection
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-47174OAI: oai:DiVA.org:kth-47174DiVA: diva2:454612
Conference
Belgium-Netherlands Artificial Intelligence Conference (BNAIC 2008)
Note
QC 20111115Available from: 2011-11-15 Created: 2011-11-07 Last updated: 2012-02-23Bibliographically approved

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kootstra09bnaic.pdf(422 kB)125 downloads
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BNAIC 2008, Proceedings 20th Belgian-Netherlands Conference on Artificial Intelligence

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CiteExportLink to record
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