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Detection of Facial Features

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Neural Nets (WIRN 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2486))

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Abstract

An algorithm for the automatic features detection in 2D color images of human faces is presented. It first identifies the eyes by means of a template matching technique, a neural network classifier, and a distance measure. It proceeds localizing lips and nose using a non-linear edge detector and color information. The method is scale-independent, works on images of either frontal, rotated or slightly tilted faces, and does not require any manual setting or operator intervention.

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Author information

Authors and Affiliations

  1. Dipartimento di Scienze dell’Informazione, Universitàa degli Studi di Milano, Via Comelico, 39/41 20135, Milano, Italy

    Paola Campadelli, Elena Casiraghi & Raffaella Lanzarotti

Authors
  1. Paola Campadelli
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  2. Elena Casiraghi
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  3. Raffaella Lanzarotti
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Editor information

Editors and Affiliations

  1. Dipartimento di Fisica, “E.R. Caianiello”, Via S. Allende, Baronissi (Salerno), Italy

    Maria Marinaro

  2. International Institut for Advanced Scientific Studies “E.R. Caianiello”, IIASS, Via G. Pellegrino, 19, 84019, Vietri Sul Mare (Salerno), Italy

    Maria Marinaro

  3. Dipartimento di Matematica ed Informatica, Via S. Allende, Baronissi (Salerno), Italy

    Roberto Tagliaferri

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© 2002 Springer-Verlag Berlin Heidelberg

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Campadelli, P., Casiraghi, E., Lanzarotti, R. (2002). Detection of Facial Features. In: Marinaro, M., Tagliaferri, R. (eds) Neural Nets. WIRN 2002. Lecture Notes in Computer Science, vol 2486. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45808-5_13

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  • DOI: https://doi.org/10.1007/3-540-45808-5_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44265-3

  • Online ISBN: 978-3-540-45808-1

  • eBook Packages: Springer Book Archive

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