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Fitting 3D Cartesian Models to Faces Using Irradiance and Integrability Constraints

  • Mario Castelán
  • Edwin R. Hancock
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

This paper makes two contributions. First, we present an experimental analysis of three different ways of constructing three-dimensional statistical models of faces using Cartesian coordinates, namely, height, surface gradient and one based on Fourier domain basis functions. Second, we test the ability of each of the models for dealing with information provided by shape-from-shading by introducing a simple non-exhaustive parameter adjustment procedure subject to integrability and irradiance constraints. Experiments show that the surface gradient based representation is more robust to noise than the alternative Cartesian representations.

Keywords

Height Function Fourier Domain Surface Gradient Fourier Basis Statistical Shape 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

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

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