Reasoning About Iconic Data In Artificial Vision

This paper deals with the extraction of multiple features and with iconic segmentation of images, with the purpose of providing a description of image entities like, for example, closed contours. In particular we will show how multiple sources of information can be integrated in a Iconic Data-Base, and how this data-base can be suitably organized for symbolic manipulation. Finally, the heuristics used to segment images of a simplified real world (a low scale model of an office-like environment whose objects are composed of planar surfaces) will be described, together with their actions on a Symbolic Data-Base.