Using relational structure to detect symmetry: A Voronoi tessellation based model of symmetry perception

Numerous models of symmetry perception have been proposed in recent years. Unfortunately, it is difficult to assess the relative utility of these models as little effort has been made to directly compare them. This paper outlines a new model of symmetry perception based upon the relational structure...

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Bibliographic Details
Published in:Acta psychologica 2008-05, Vol.128 (1), p.75-90
Main Author: Dry, Matthew J.
Format: Article
Language:English
Subjects:
Bayes Theorem
Bayesian model selection
Biological and medical sciences
Fundamental and applied biological sciences. Psychology
Humans
Modeling
Models, Psychological
Pattern Recognition, Visual - physiology
Perception
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Psychophysics
Relational structure
Symmetry
Vision
Visual Perception - physiology
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Summary:Numerous models of symmetry perception have been proposed in recent years. Unfortunately, it is difficult to assess the relative utility of these models as little effort has been made to directly compare them. This paper outlines a new model of symmetry perception based upon the relational structure revealed by Voronoi tessellation. The model has been developed in response to evidence suggesting that the human visual system is generating a Voronoi-like representation at an early stage in processing. Bayesian model selection is employed to compare the performance of the Voronoi model to that of five previously published models across six empirical datasets. The results indicate that the Voronoi model provides a more likely account of the data than the five alternative models.
ISSN:0001-6918
1873-6297
DOI:10.1016/j.actpsy.2007.10.001