1. Perception of Symmetry in Natural Images
- Author
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Ko Sakai, Shouhei Matsuoka, and Ken Kurematsu
- Subjects
Similarity (geometry) ,business.industry ,media_common.quotation_subject ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,TheoryofComputation_GENERAL ,Geometry ,Measure (mathematics) ,Condensed Matter::Superconductivity ,Computer Science::Computer Vision and Pattern Recognition ,Perception ,Natural (music) ,Gestalt psychology ,Degree (angle) ,Computer vision ,Artificial intelligence ,Symmetry (geometry) ,business ,Scaling ,ComputingMethodologies_COMPUTERGRAPHICS ,media_common ,Mathematics - Abstract
Symmetry has long been considered as an influential Gestalt factor for grouping and figure-ground segregation. As natural contours are not precisely symmetric in terms of geometry, we proposed a quantification of the degree of symmetry (DoS) that is applicable for arbitrary contours in natural images. DoS showed an agreement with the perception of symmetry in judgment of symmetry axis. Multi-dimensional scaling, together with similarity tests among natural contours, showed that DoS is a quantitative perceptual measure that accounts for the shape of contour. These results indicate that DoS reflects the perception of symmetry in natural contours, and further suggest that DoS is a plausible candidate for representing shape in the cortex.
- Published
- 2014
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