Modeling second-order boundary perception: A machine learning approach
Fig 13
Hypothetical extension of our modeling framework with additional second-stage filters and a more complete implementation of the first-stage filters.
Such a model could potentially be fit to human observer performance on boundary perception tasks involving complex stimuli such as natural occlusion boundaries.