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Lip Contour Segmentation Using Kernel Methods and Level Sets

  • A. Khan
  • W. Christmas
  • J. Kittler
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4842)

Abstract

This paper proposes a novel method for segmenting lips from face images or video sequences. A non-linear learning method in the form of an SVM classifier is trained to recognise lip colour over a variety of faces. The pixel-level information that the trained classifier outputs is integrated effectively by minimising an energy functional using level set methods, which yields the lip contour(s). The method works over a wide variety of face types, and can elegantly deal with both the case where the subjects’ mouths are open and the mouth contour is prominent, and with the closed mouth case where the mouth contour is not visible.

Keywords

Face Image Active Contour Decision Function Kernel Method Visual Speech 
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 2007

Authors and Affiliations

  • A. Khan
    • 1
  • W. Christmas
    • 1
  • J. Kittler
    • 1
  1. 1.Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XHUK

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