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Finding Faces in Cluttered Still Images with Few Examples

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Artificial Neural Networks — ICANN 2001 (ICANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2130))

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Abstract

Elastic graph matching and its extension bunch graph matching have proven to be among the best methods for face recognition and the interpretation of facial expressions. We here demonstrate for the first time that, in combination with a simple color template, it is also an excellent means for the localization of faces in cluttered still images. The system does not need extensive learning, all information is extracted from a handful of example face images.

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Author information

Authors and Affiliations

  1. Institut für Neuroinformatik, Ruhr-Universität Bochum, D-44780, Bochum, Germany

    Jan Wieghardt & Hartmut S. Loos

Authors
  1. Jan Wieghardt
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  2. Hartmut S. Loos
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Editor information

Editors and Affiliations

  1. Dept. of Mecidal Cybernetics and Artificial Intelligence, University of Vienna, Freyung 6/2, 1010, Vienna, Austria

    Georg Dorffner

  2. Institute for Computer Aided Automation Pattern Recognition and Image Processing Group, Technical University of Vienna, Favoritenstr. 9/1832, 1040, Vienna, Austria

    Horst Bischof

  3. Institut für Statistik, Wirtschaftsuniversität Wien, Augasse 2-6, 1090, Wien, Austria

    Kurt Hornik

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© 2001 Springer-Verlag Berlin Heidelberg

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Wieghardt, J., Loos, H.S. (2001). Finding Faces in Cluttered Still Images with Few Examples. In: Dorffner, G., Bischof, H., Hornik, K. (eds) Artificial Neural Networks — ICANN 2001. ICANN 2001. Lecture Notes in Computer Science, vol 2130. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44668-0_142

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  • DOI: https://doi.org/10.1007/3-540-44668-0_142

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42486-4

  • Online ISBN: 978-3-540-44668-2

  • eBook Packages: Springer Book Archive

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