VASC Seminar Announcement
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Speakers: M. Alex O. Vasilescu, Demetri Terzopoulos
Affiliation:  NYU
Date: Thursday, October 24
Time: 2:00pm
Place: NSH 1507

"TensorFaces - Multilinear Image Analysis for Facial Recognition"

Natural images are the composite consequence of multiple factors
related to scene structure, illumination, and imaging. Multilinear
algebra, the algebra of higher-order tensors, offers a potent
mathematical framework for analyzing the multifactor structure of
image ensembles and for addressing the difficult problem of
disentangling the constituent factors or modes. Our multilinear
modeling technique employs a tensor extension of the conventional
matrix singular value decomposition (SVD), known as the N-mode SVD. As
a concrete example, we consider the multilinear analysis of ensembles
of facial images that combine several modes, including different
facial geometries (people), expressions, head poses, and lighting
conditions. Our resulting ``TensorFaces'' representation has several
advantages over conventional eigenfaces and leads to improved
recognition results.