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Mustererkennung 1997 pp 97–104Cite as

Detektion von Fingerspitzen in Videobildern

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Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

Diese Arbeit beschreibt einen hierarchischen Ansatz zur Detektion von Fingerspitzen in Grauwertbildern. Dabei wird nicht vorausgesetzt, daß der Benutzer Handschuhe trägt oder daß Markierungen an der Hand angebracht sind. Drei Anwendungen werden vorgestellt: die Detektion von Fingerspitzen in Aufnahmen der Hand aus unterschiedlichen Aufnahmewinkeln, die Erkennung von Zeigerichtungen und die Detektion aller 5 Fingerspitzen in einer Sequenz von Bildern.

Diese Arbeit wurde im Rahmen des Projektes ‘Multimedia NRW: Die Virtuelle Wis­sensfabrik’ vom Ministerium für Wissenschaft und Forschung des Landes Nordrhein-Westfalen unter der Nummer IV A3-107 031 96 gefördert.

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Author information

Authors and Affiliations

  1. Technische Fakultät, Neuroinformatik, Universität Bielefeld, Germany

    Claudia Nölker & Helge Ritter

Authors
  1. Claudia Nölker
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  2. Helge Ritter
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Editor information

Editors and Affiliations

  1. Institut für Nachrichtentechnik, Technische Universität Braunschweig, Schleinitzstrasse 22, D-38092, Braunschweig, Deutschland

    Erwin Paulus

  2. Institut für Robotik und Prozeßinformatik, Technische Universität Braunschweig, Hamburger Strasse 267, D-38114, Braunschweig, Deutschland

    Friedrich M. Wahl

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© 1997 Springer-Verlag Berlin Heidelberg

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Nölker, C., Ritter, H. (1997). Detektion von Fingerspitzen in Videobildern. In: Paulus, E., Wahl, F.M. (eds) Mustererkennung 1997. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60893-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-60893-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63426-3

  • Online ISBN: 978-3-642-60893-3

  • eBook Packages: Springer Book Archive

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