Principal component analysis of image gradient orientations for face recognition

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Principal component analysis of image gradient orientations for face recognition

We introduce the notion of Principal Component Analysis (PCA) of image gradient orientations. As image data is typically noisy, but noise is substantially different from Gaussian, traditional PCA of pixel intensities very often fails to estimate reliably the low-dimensional subspace of a given data...

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Bibliographic Details
Main Authors:	Tzimiropoulos, Georgios, Zafeiriou, Stefanos, Pantic, Maja
Format:	Conference or Workshop Item
Published:	2011
Subjects:	Face recognition Gradient methods Principal component analysis
Online Access:	https://eprints.nottingham.ac.uk/31408/

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