Next: Edge Detection
Up: Perceptual Contrast, Symmetry and
Previous: Biological and Psychological Motivation
A computational technique is needed which can combine the effects of contrast,
symmetry and scale to find the set of the interesting regions in an image.
An example of the possible output of such an algorithm would be a collection
of points defining circular regions of a certain radius (or scale) which
exhibit perceptual importance. A mask or filter is needed which can be quickly
applied locally (topographically) over the whole image at multiple scales. The
output of the mask would be a perceptual significance map which measures the
level of contrast and symmetric enclosure of the image region overlapped by
the filter. To detect large perceptually significant objects first, this mask
would be applied first at large scales (i.e., with a relatively large mask) and
then at progressively smaller ones. Such a filter would provide us with an
efficient attentional mechanism for quickly fixating further face-recognition
computational resources only on interesting regions.