In this paper we demonstrate how to recover surface shape from single images of faces using shape-from-shading when shadows are present. We make use of a statistical representation of the distribution of surface normal directions based on the equidistant azimuthal projection. This is allows us to develop a statistical model of the variations in facial shape in the surface normal domain. We show how ideas from robust statistics can be used to fit the model to facial images in which there is significant self-shadowing. The method is evaluated on both synthetic and real-world images. It is demonstrated to effectively fill-in the facial surface when more than 30% of the area is subject to self-shadowing.


Input Image Median Absolute Deviation Facial Shape Cast Shadow Photometric Stereo 
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 2006

Authors and Affiliations

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

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