Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework

  • Mario Castelán
  • Edwin R. Hancock
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)

Abstract

We present an experimental analysis of four different ways of constructing three-dimensional statistical models of faces using Cartesian coordinates, namely: height, surface gradient, azimuthal angle and one based on Fourier domain basis functions. We test the ability of each of the models for dealing with information provided by shape-from-shading. Experiments show that representations based on directional information are more robust to noise than representations based on height information. Moreover, the method can be operated using a simple non-exhaustive parameter adjustment procedure and ensures that the recovered surface satisfies the image irradiance equation as a hard constraint subject to integrability conditions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mario Castelán
    • 1
  • Edwin R. Hancock
    • 1
  1. 1.Department of Computer ScienceUniversity of YorkYorkUK

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