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

UsingBiologicallyInspiredFeaturesforFaceProcessing.pdf

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