Towards an automatic construction of object recognition strategies

An approach to object recognition in an industrial environment is described. With the hypothesis that the universe of objects is limited and that the attitudes in space of any object are constrained by the working environment to a few possibilities, a method is obtained that determines minimal descriptions for each model/object pair. These descriptions, which are discriminant of each model, are used by the recognition strategy planner. It automatically determines which descriptions can be conveniently used to identify the object(s) looked for and in what order. Uncertainties due to overlapping are signaled and tentative classifications listed