EVALUATION OF A SHAPE IDENTIFICATION SYSTEM BASED ON A SIGNATURE FUNCTION

One of the commonest problems in artificial vision is how to identify an object by comparing its characteristics with those of the models in cluded in the recognition system database. Relevant characteristics in clude properties both of the object's surface (size, shape, and reflec tivity) and of its edges. In general, the solution to the problem depe nds (1) on the type of illumination used and whether its distribution across the scene is uniform or not and (2) on the surface characterist ics (reflectivity, texture) of both the object and the background. In this first phase of research we have tried out a particular signature function: the distance of all points on the object's border from the o bject's center