Abstract
We describe an eigenspace manifold for the representation and recognition of pose-varying faces. The distribution of faces in this manifold allows us to determine theoretical recognition characteristics which are then verified experimentally. Using this manifold a framework is proposed which can be used for both familiar and unfamiliar face recognition. A simple implementation demonstrates the pose dependent nature of the system over the transition from unfamiliar to familiar face recognition. Furthermore we show that multiple test images, whether real or virtual, can be used to augment the recognition process. The results compare favourably with reported human face recognition experiments. Finally, we describe how this framework can be used as a mechanism for characterising faces from video for general purpose recognition.
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© 1998 Springer-Verlag Berlin Heidelberg
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Graham, D.B., Allinson, N.M. (1998). Characterising Virtual Eigensignatures for General Purpose Face Recognition. In: Wechsler, H., Phillips, P.J., Bruce, V., Soulié, F.F., Huang, T.S. (eds) Face Recognition. NATO ASI Series, vol 163. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72201-1_25
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DOI: https://doi.org/10.1007/978-3-642-72201-1_25
Publisher Name: Springer, Berlin, Heidelberg
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