Finding face features

  • Ian Craw
  • David Tock
  • Alan Bennett
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)


We describe a computer program which understands a greyscale image of a face well enough to locate individual face features such as eyes and mouth. The program has two distinct components: modules designed to locate particular face features, usually in a restricted area; and the overall control strategy which activates modules on the basis of the current solution state, and assesses and integrates the results of each module.

Our main tool is statististical knowledge obtained by detailed measurements of many example faces. We describe results when working to high accuracy, in which the aim is to locate 40 pre-specified feature points chosen for their use in indexing a mugshot database. A variant is presented designed simply to find eye locations, working at close to video rates.


Feature Point Blink Rate Greyscale Image British Machine Vision Deformable Template 
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 1992

Authors and Affiliations

  • Ian Craw
    • 1
  • David Tock
    • 1
  • Alan Bennett
    • 1
  1. 1.Department of Mathematical SciencesUniversity of AberdeenAberdeenUK

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