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Part of the book series: Studies in Computational Intelligence ((SCI,volume 316))

Abstract

In this chapter we develop a correspondence-basedmodel for object recognition.We will focus here on the question how correspondence finding can be realized neurally, using very simple assumptions for the underlying routing structures (amore realistic treatment of these will be given in Chapter 4).

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Wolfrum, P. (2010). A Correspondence-Based Neural Model for Face Recognition. In: Information Routing, Correspondence Finding, and Object Recognition in the Brain. Studies in Computational Intelligence, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15254-2_3

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