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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