Paper Info
Title
Quantitative Analysis Of A Bioplausible Model Of Misperception Of Slope In The Cafe Wall Illusion
Abstract
This paper presents a model explaining tilt illusion effect in the Cafe 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 Cafe 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.
Year
DOI
Venue
2016
10.1007/978-3-319-54526-4_45
COMPUTER VISION - ACCV 2016 WORKSHOPS, PT III
Field
DocType
Volume
Receptive field,Illusion,Computer vision,Visual processing,Pattern recognition,Computer science,Filter (signal processing),Café wall illusion,Artificial intelligence,Artificial neural network,Perception,Difference of Gaussians
Conference
10118
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Nasim Nematzadeh110.77
David M. W. Powers250067.39
Trent W. Lewis39810.94