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A model for global symmetry detection in dense images

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image of Spatial Vision
For more content, see Multisensory Research and Seeing and Perceiving.

—In this paper, a model is proposed for bilateral symmetry detection in images consisting of dense arrangements of local features. The model is elaborated on the basis of a psychophysical experiment showing that grouping precedes and facilitates symmetry detection. The proposed computational model consists of three stages: a grouping stage, a symmetry-detection stage, and a symmetry-subsumption stage. Reliance upon a preliminary grouping stage enables a significant reduction of the computational load for detecting symmetry. An implementation of the model is described, and results are presented, showing a good agreement of the model performance with human symmetry perception.

Affiliations: 1: Perception and Robotics Research Group, Department of Electrical and Computer Engineering, Pavillon André-Aisenstadt, Ecole Polytechnique de Montréal, PO Box 6079, Station 'Centre-Ville', Montréal, Québec, Canada, H3C 3A7; 2: Perception and Robotics Research Group, Department of Electrical and Computer Engineering, Pavillon André-Aisenstadt, Ecole Polytechnique de Montréal, PO Box 6079, Station 'Centre-Ville', Montréal, Québec, Canada, H3C 3A7; 3: Perception and Robotics Research Group, Department of Electrical and Computer Engineering, Pavillon André-Aisenstadt, Ecole Polytechnique de Montréal, PO Box 6079, Station 'Centre-Ville', Montréal, Québec, Canada, H3C 3A7; 4: Perception and Robotics Research Group, Department of Electrical and Computer Engineering, Pavillon André-Aisenstadt, Ecole Polytechnique de Montréal, PO Box 6079, Station 'Centre-Ville', Montréal, Québec, Canada, H3C 3A7, Ecole d'Optométrie, Université de Montréal, PO Box 6128, Station 'Centre-Ville', Montréal, Québec, Canada, H3C 3J7

10.1163/156856895X00106
/content/journals/10.1163/156856895x00106
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/content/journals/10.1163/156856895x00106
1995-01-01
2016-12-04

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