Subspace learning from image gradient orientations

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Subspace learning from image gradient orientations

We introduce the notion of subspace learning from image gradient orientations for appearance-based object recognition. As image data is typically noisy and noise is substantially different from Gaussian, traditional subspace learning from pixel intensities fails very often to estimate reliably the l...

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Bibliographic Details
Main Authors:	Tzimiropoulos, Georgios, Zafeiriou, Stefanos, Pantic, Maja
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2012
Subjects:	image gradient orientations robust principal component analysis discriminant analysis non-linear dimensionality reduction face recognition
Online Access:	https://eprints.nottingham.ac.uk/31439/

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