A hybrid model of the 3D-objects recognition system

The paper the problems of recognition of 3D-objects by their geometric features are studied. Features of recognition of 3D-objects in conditions of incompleteness of information are considered. Shown the advantages of joint use of technologies fuzzy logic and artificial neural networks. A block diagram of a hybrid neural-fuzzy model is proposed. Presented the results of a computer experiment and suggestions for improving the hybrid recognition system.