Facial recognition/verification using Gabor wavelets and kernel methods

A novel Gabor-kernel face classification method is proposed in this paper. This involves convolving a face image with a series of Gabor kernels at different scales, locations, and orientations to obtain feature vectors. Kernel methods such as kernel principal component analysis (KPCA) and kernel dis...

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Bibliographische Detailangaben
Hauptverfasser:	Linlin Shen, Li Bai, Picton, P.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Face recognition Feature extraction Image analysis Image recognition Independent component analysis Kernel Linear discriminant analysis Pattern recognition. Digital image processing. Computational geometry Principal component analysis Spatial databases Support vector machines
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