Abstract
Eigenspace-based face recognition is a very well known and successful face recognition paradigm. Different eigenspace-based approaches have been proposed for the recognition of faces. They differ mostly in the kind of projection method been used and in the similarity matching criterion employed. The aim of this paper is to present a survey of these different approaches. A general framework of the eigenspace-based face recognition paradigm is presented and different approaches are compared using theoretical aspects and simulations performed using a face database.
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© 2002 Springer-Verlag London
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del Solar Ruiz, J., Navarrete, P. (2002). Eigenspace-based Face Recognition. In: Roy, R., Köppen, M., Ovaska, S., Furuhashi, T., Hoffmann, F. (eds) Soft Computing and Industry. Springer, London. https://doi.org/10.1007/978-1-4471-0123-9_38
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DOI: https://doi.org/10.1007/978-1-4471-0123-9_38
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1101-6
Online ISBN: 978-1-4471-0123-9
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