Conference paper
Shape perception and low-dimension fractal boundary contours
Abstract
We have identified a class of stimuli which seem to tap into the basic human ability to identify and name shapes. Using computer-generated stimuli, we found that patterns with low fractal dimension contours evoked the perception of namable objects, and that this proportion is increased when a pre-attentive criterion for examining the patterns is used. Furthermore, this result holds whether the patterns are filled in shapes (e.g., cloud patterns) or simple edge contours.
Related
Conference paper
Unassisted true analog neural network training chip
Conference paper