Attention in Iconic Object Matching
T.D. Grove, Robert Bob Fisher · 1996
In this paper we present the attention sub-system of an iconic, picture based, vision system. Our system is based on an interest map that re-cords the saliency of potential foveation points. These saliency scores are computed on the basis of both photometric features and know-ledge of the likely relationships between object sub-components. We demonstrate our attention algorithm on articial and natural images. 1