Abstract
This paper describes how facial shape can be modelled using a statistical model that captures variations in surface normal direction. We fit the model to intensity data using constraints on the surface normal direction provided by Lambert’s law. We demonstrate that this process yields improved facial shape recovery and can be used for the purposes of illumination insensitive face recognition.
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© 2005 Springer-Verlag Berlin Heidelberg
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Smith, W.A.P., Hancock, E.R. (2005). Face Recognition Using a Surface Normal Model. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_52
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DOI: https://doi.org/10.1007/11553595_52
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
Online ISBN: 978-3-540-31866-8
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