The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale
Geometrical illusions are a subclass of optical illusions in which the geometrical characteristics of patterns in particular orientations and angles are distorted and misperceived as a result of low-to-high-level retinal/cortical processing. Modelling the detection of tilt in these illusions, and it...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Applied Computational Intelligence and Soft Computing |
| Online Access: | http://dx.doi.org/10.1155/2017/8179579 |
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| author | Nasim Nematzadeh David M. W. Powers |
| author_facet | Nasim Nematzadeh David M. W. Powers |
| author_sort | Nasim Nematzadeh |
| collection | DOAJ |
| description | Geometrical illusions are a subclass of optical illusions in which the geometrical characteristics of patterns in particular orientations and angles are distorted and misperceived as a result of low-to-high-level retinal/cortical processing. Modelling the detection of tilt in these illusions, and its strength, is a challenging task and leads to the development of techniques that explain important features of human perception. We present here a predictive and quantitative approach for modelling foveal and peripheral vision for the induced tilt in the Café Wall illusion, in which parallel mortar lines between shifted rows of black and white tiles appear to converge and diverge. Difference of Gaussians is used to define a bioderived filtering model for the responses of retinal simple cells to the stimulus, while an analytical processing pipeline is developed to quantify the angle of tilt in the model and develop confidence intervals around them. Several sampling sizes and aspect ratios are explored to model variant foveal views, and a variety of pattern configurations are tested to model variant Gestalt views. The analysis of our model across this range of test configurations presents a precisely quantified comparison contrasting local tilt detection in the foveal sample sets with pattern-wide Gestalt tilt. |
| format | Article |
| id | doaj-art-d896b743163b4b29904e16183cffe2d7 |
| institution | Kabale University |
| issn | 1687-9724 1687-9732 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Computational Intelligence and Soft Computing |
| spelling | doaj-art-d896b743163b4b29904e16183cffe2d72025-02-03T05:46:25ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322017-01-01201710.1155/2017/81795798179579The Café Wall Illusion: Local and Global Perception from Multiple Scales to MultiscaleNasim Nematzadeh0David M. W. Powers1College of Science and Engineering, Flinders University, Adelaide, SA, AustraliaCollege of Science and Engineering, Flinders University, Adelaide, SA, AustraliaGeometrical illusions are a subclass of optical illusions in which the geometrical characteristics of patterns in particular orientations and angles are distorted and misperceived as a result of low-to-high-level retinal/cortical processing. Modelling the detection of tilt in these illusions, and its strength, is a challenging task and leads to the development of techniques that explain important features of human perception. We present here a predictive and quantitative approach for modelling foveal and peripheral vision for the induced tilt in the Café Wall illusion, in which parallel mortar lines between shifted rows of black and white tiles appear to converge and diverge. Difference of Gaussians is used to define a bioderived filtering model for the responses of retinal simple cells to the stimulus, while an analytical processing pipeline is developed to quantify the angle of tilt in the model and develop confidence intervals around them. Several sampling sizes and aspect ratios are explored to model variant foveal views, and a variety of pattern configurations are tested to model variant Gestalt views. The analysis of our model across this range of test configurations presents a precisely quantified comparison contrasting local tilt detection in the foveal sample sets with pattern-wide Gestalt tilt.http://dx.doi.org/10.1155/2017/8179579 |
| spellingShingle | Nasim Nematzadeh David M. W. Powers The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale Applied Computational Intelligence and Soft Computing |
| title | The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale |
| title_full | The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale |
| title_fullStr | The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale |
| title_full_unstemmed | The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale |
| title_short | The Café Wall Illusion: Local and Global Perception from Multiple Scales to Multiscale |
| title_sort | cafe wall illusion local and global perception from multiple scales to multiscale |
| url | http://dx.doi.org/10.1155/2017/8179579 |
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