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Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition

In this paper we discuss the biological plausibility of the object recognition system described in detail in (Kruger, Peters and v.d. Malsburg, 1996). We claim that this system realizes the following principles of cortical processing: hierarchical processing, sparse coding, and ordered arrangement of features. Furthermore, our feature selection is motivated by response properties of neurons in striate cortex and by Biederman’s theory of object representation on higher stages of visual processing (Biederman, 1987). Inspired by the current discussion about aspects of cortical processing, we hope to derive more efficient algorithms. By discussing the functional meaning of these aspects in our object recognition system, we hope to attain a deeper understanding of their meaning for brain processing.