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Face recognition using virtual parametric eigenspace signatures

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2 Author(s)
Graham, D.B. ; Univ. of Manchester Inst. of Sci. & Technol., UK ; Allinson, N.M.

This paper proposes a novel system for face recognition which utilises the parametric eigenspace of Murase and Nayar (1993) to determine both the pose and identification of a face held within a current face database. In order that all views from profile to frontal are available for recognition a sample of views are taken from a range of angles so that, during the identification process, virtual views can be estimated from a novel view to supply ordered coordinates in the eigenvector subspace for the recognition algorithm. The method is demonstrated on a set of faces and results show that the technique is practical. The system is described in the context of a theoretical model of human face recognition which closely resembles that described in the literature

Published in:

Image Processing and Its Applications, 1997., Sixth International Conference on  (Volume:1 )

Date of Conference:

14-17 Jul 1997

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