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.
|Number of pages||16|
|Publication status||Published - 2017|
|Event||Asian Conference on Computer Vision - ACCV 2016 - |
Duration: 20 Nov 2016 → …
|Conference||Asian Conference on Computer Vision - ACCV 2016|
|Period||20/11/16 → …|