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A Bioplausible Model for Explaining Café Wall Illusion: Foveal vs. Peripheral Resolution

  • Nasim Nematzadeh
  • David M. W. Powers
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10072)

Abstract

Optical illusions highlight sensitivities and limitations of human visual processing and studying them leads to insights about perception that can potentially help computer vision match or exceed human performance. Geometric illusions are a subclass of illusions in which orientations and angles are distorted and misperceived. In this paper, a quantifiable prediction is presented of the degree of tilt for the Café Wall pattern, a typical geometric illusion, in which the mortar between the tiles seems to converge and diverge. Our study employs a bioplausible model of ON-center retinal processing, using an analytic processing pipeline to measure, quantitatively, the angle of tilt content in the model. The model also predicts different perceived tilts in different areas of the fovea and periphery as the eye saccades to different parts of the image. This variation is verified and quantified in simulations using two different sampling methods. Several sampling sizes and aspect ratios, modeling variant foveal views, are investigated across multiple scales in order to provide confidence intervals around the predicted tilts, and to contrast local tilt detection with a global average across the whole Café Wall image.

Keywords

Tilt Angle Lateral Inhibition Coarse Scale Hough Transform Reference Orientation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.CSEMFlinders UniversityAdelaideAustralia

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