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CELLULAR AUTOMATA BAG OF VISUAL WORDS FOR OBJECT RECOGNITION

In this paper we propose and analyze a novel method for object recognition, inspired by the cellular automata theory. The proposed method has a low computational complexity, and can be incorporated in the standard Bag-of-Visual-Words framework. Experimental tests conducted on several standard image databases show that the proposed method provides a significant improvement in the classification performance, outperforming some other classic approaches.