Learning the spherical harmonic features for 3 D face recognition
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In this paper a novel competitive method for 3-D FR(Face Representation)has been proposed, which is based on SHF(Spherical harmonic feature) reliably computed on a canonical 3-D face representation, namely Spherical Depth Map (SDM). Feature selection methods are use to improve the predictive performance and provide faster and more cost-effective predictors.
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