A Co-Operating Strategy for Objects Recognition

The paper describes an object recognition system, based on the co-operation of several visual modules (early vision, object detector, and object recognizer). The system is active because the behaviour of each module is tuned on the results given by other modules and internal models. This solution allows to detect inconsistencies and to generate a feedback process. The proposed strategy has shown good performance especially in case of complex scene analysis, and it has been included in the visual system of the DAISY robotics system. Experimental results on real data are also reported. Keywords: attention, segmentation, object recognition, symmetry operators, snakes 1 Introduction The performance of a perceptual system lies on the ability to focus on areas of interest, by maximising a given costs/benefit utility criterion [2]. The ability to select salient features is one of the basic question of intelligence, both in artificial and natural systems. Moreover, visual perceptua..