Title:
UsingBiologicallyInspiredFeaturesforFaceProcessing
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Description: Using Biologically Inspired Features for Face Processing
In this paper, we show that a new set of visual
features, derived from a feed-forward model of the primate
visual object recognition pathway proposed by Riesenhuber
and Poggio (R&P Model) is capable of matching the performance of
some of the best current representations for face identification
and facial expression recognition
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UsingBiologicallyInspiredFeaturesforFaceProcessing.pdf
