Advertisement

Finding face features

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

Abstract

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.

Keywords

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    A. D. Bennett and I. Craw. Finding image features using deformable templates and detailed prior statistical knowledge. In P. Mowforth, editor, British Machine Vision Conference 1991, pages 233–239, London, 1991. Springer Verlag.Google Scholar
  2. 2.
    P. J. Benson and D. I. Perrett. Perception and recognition of photographic quality facial caricatures: Implications for the recognition of natural images. European Journal of Cognitive Psychology, 3(1):105–135, 1991.Google Scholar
  3. 3.
    I. Craw and P. Cameron. Parameterising images for recognition and reconstruction. In P. Mowforth, editor, British Machine Vision Conference 1991, pages 367–370, London and Berlin, 1991. British Machine Vision Association, Springer Verlag.Google Scholar
  4. 4.
    I. Craw, D. Tock, and A. Bennett. Finding face features. Technical Report 92-15, Departments of Mathematical Sciences, University of Aberdeen, Scotland, 1991.Google Scholar
  5. 5.
    U. Grenander, Y. Chow, and D. Keenan. Hands: A Pattern Theoretic Study of Biological Shapes. Research Notes in Neural Computing. Springer-Verlag, New York, 1991.Google Scholar
  6. 6.
    M. Kelly. Edge detection in pictures by computer using planning. In B. Meltzer and D. Michie, editors, Handbook of research on face processing, pages 397–409. Edinburgh University Press, Edinburgh, 1971.Google Scholar
  7. 7.
    A. Knoerr. Global models of natural boundaries: Theory and applications. Pattern Analysis Technical Report 148, Brown University, Providence, RI, 1988.Google Scholar
  8. 8.
    J. W. Shepherd. An interactive computer system for retrieving faces. In H. D. Ellis, M. A. Jeeves, F. Newcombe, and A. Young, editors, Aspects of Face Processing, chapter 10, pages 398–409. Martinus Nijhoff, Dordrecht, 1986. NATO ASI Series D: Behavioural and Social Sciences — No. 28.Google Scholar

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

Personalised recommendations