Face Recognition Using a Surface Normal Model

  • W. A. P. Smith
  • E. R. Hancock
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)


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.


Face Recognition Surface Normal Training Image Tangent Plane Azimuth Angle 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • W. A. P. Smith
    • 1
  • E. R. Hancock
    • 1
  1. 1.Department of Computer ScienceThe University of York 

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