Abstract
This paper presents a model explaining tilt illusion effect in the Café Wall pattern. In this geometric illusion, we perceive horizontal edges as tilted. We explain this as the result of innate retinal/gangliar visual processing of the pattern. Our bioplausible model is based on a simple early layer using Difference of Gaussian over simple ON-center and OFF-center receptive fields, with a quantification module replacing later layers of a Deep Neural Network. The experimental results show that this bioplausible filtering technique can explain the tilt illusion of the Café Wall pattern. Our statistical analysis of tilt provides a quantitative measurement and an empirically testable prediction for the degree of tilt. This shows that the Difference of Gaussian reveals cues for perception and clues about the illusions we perceive.
Original language | English |
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Pages | 622-637 |
Number of pages | 16 |
DOIs | |
Publication status | Published - 2017 |
Event | Asian Conference on Computer Vision - ACCV 2016 - Duration: 20 Nov 2016 → … |
Conference
Conference | Asian Conference on Computer Vision - ACCV 2016 |
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Period | 20/11/16 → … |