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Single Image Estimation of Facial Albedo Maps

  • William A. P. Smith
  • Edwin R. Hancock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3704)

Abstract

This paper describes how a facial albedo map can be recovered from a single image 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 and then use the differences between observed and reconstructed image brightness to estimate the albedo map. We show that this process is stable under varying illumination and use the process to render images under novel illumination.

Keywords

Training Image Facial Shape Active Appearance Model Cast Shadow Generative Statistical Model 
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

  • William A. P. Smith
    • 1
  • Edwin R. Hancock
    • 1
  1. 1.Department of Computer ScienceThe University of York 

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