Representation and Recognition

Representation and Recognition - compressed and whitened...

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Representation and Recognition • The Bayes classifier is optimal when the probability distributions of data are known. • The PRM method [Liu00] integrates PCA and Bayes classifier. • Fisher Linear Discriminant (FLD, LDA): separates the mean of different classes as far as possible and compresses the same class data as much as possible. • Independent Component Analysis (ICA), a technique for blind source separation. • ICA analysis, when carried out in the properly
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Unformatted text preview: compressed and whitened space, performs better than the Eigenface and Fisherface methods. • When augmented by additional criteria (such as the MAP rule) its performance degrades. • Graph matching achieves invariance to affine transformations or localized facial expressions. Graph nodes have to be manually defined to find the corresponding nodes in the different graphs....
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Representation and Recognition - compressed and whitened...

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