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CVPR
2008
IEEE

Recognising faces in unseen modes: A tensor based approach

9 years 8 months ago
Recognising faces in unseen modes: A tensor based approach
This paper addresses the limitation of current multilinear techniques (multilinear PCA, multilinear ICA) when applied to face recognition for handling faces in unseen illumination and viewpoints. We propose a new recognition method, exploiting the interaction of all the subspaces resulting from multilinear decomposition (for both multilinear PCA and ICA), to produce a new basis called multilineareigenmodes. This basis offers the flexibility to handle face images at unseen illumination or viewpoints. Experiments on benchmarked datasets yield superior performance in terms of both accuracy and computational cost.
Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Sveth
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2008
Where CVPR
Authors Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh
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