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Goodness of visual regularities: a nontransformational approach
P A van der Helm1, E L Leeuwenberg
1Department of Experimental Psychology, Nijmegen Institute for Cognition and Information (NICI), University of Nijmegen, The Netherlands. helm@nici.kun.nl
Psychological Review
|July 1, 1996
Summary
A new holographic regularity analysis offers a graded view of mirror symmetry, unlike the previous all-or-nothing transformational approach. This provides a more ecologically plausible explanation for visual perception phenomena.
Area of Science:
- Visual perception
- Cognitive science
- Formal analysis of regularity
Background:
- The transformational approach was the primary formal analysis for visual regularities like repetition and mirror symmetry.
- Existing models struggle to explain perceptual 'goodness' phenomena related to visual regularities.
Purpose of the Study:
- To introduce and analyze visual regularity using the novel concept of holographic regularity.
- To compare the holographic approach with the transformational approach for understanding repetition and mirror symmetry.
- To demonstrate the explanatory power of holographic regularity for perceptual phenomena.
Main Methods:
- Theoretical analysis of visual regularities.
- Formal comparison of transformational and holographic approaches.
- Conceptual application to perfect and perturbed regularities.
Main Results:
- Holographic regularity provides a graded analysis of mirror symmetry, contrasting with the transformational approach's all-or-nothing view.
- Both approaches yield the same structure for repetition.
- The holographic approach offers a coherent and ecologically plausible explanation for various 'goodness' phenomena in visual perception.
Conclusions:
- Holographic regularity offers a more nuanced and comprehensive framework for understanding visual regularities, particularly mirror symmetry.
- This new approach better accounts for perceptual judgments of regularity 'goodness'.
- The holographic model presents a promising alternative for formalizing visual perception research.