A Compound Computational Model for Filling-In Processes Triggered by Edges: Watercolor Illusions

Hadar Cohen-Duwek, Hedva Spitzer

Research output: Contribution to journalArticlepeer-review

Abstract

The goal of our research was to develop a compound computational model with the ability to predict different variations of the “watercolor effects” and additional filling-in effects that are triggered by edges. The model is based on a filling-in mechanism solved by a Poisson equation, which considers the different gradients as “heat sources” after the gradients modification. The biased (modified) contours (edges) are ranked and determined according to their dominancy across the different chromatic and achromatic channels. The color and intensity of the perceived surface are calculated through a diffusive filling-in process of color triggered by the enhanced and biased edges of stimulus formed as a result of oriented double-opponent receptive fields. The model can successfully predict both the assimilative and non-assimilative watercolor effects, as well as a number of “conflicting” visual effects. Furthermore, the model can also predict the classic Craik–O'Brien–Cornsweet (COC) effect. In summary, our proposed computational model is able to predict most of the “conflicting” filling-in effects that derive from edges that have been recently described in the literature, and thus supports the theory that a shared visual mechanism is responsible for the vast variety of the “conflicting” filling-in effects that derive from edges.

Original languageEnglish
Article number225
JournalFrontiers in Neuroscience
Volume13
DOIs
StatePublished - 22 Mar 2019

Keywords

  • computational models
  • diffusion process
  • filling-in
  • visual system mechanism
  • watercolor effect

Fingerprint

Dive into the research topics of 'A Compound Computational Model for Filling-In Processes Triggered by Edges: Watercolor Illusions'. Together they form a unique fingerprint.

Cite this