A Correspondence-Based Neural Model for Face Recognition

  • Philipp Wolfrum
Part of the Studies in Computational Intelligence book series (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).

Keywords

Face Recognition Input Image Input Layer Gabor Wavelet Dynamic Link 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • Philipp Wolfrum

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