Face Recognition: A Critical Look at Biologically-Inspired Approaches

This paper analyzes the merits of two biologically-inspired face recognition models, eigenf aces and graphmatching, in the context of related neurophysiological and psychophysical data. Given the ambiguity of current biological evidence, a more promising direction for future face recognition research is in the development of models that conform more closely to human perception of facial similarity.

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