Using Image Depth Information for Fast Face Detection

  • Sasa Bodiroza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6856)


Human-robot interaction relies heavily on the ability to locate and track agents in real-time. For joint attention [1] participating agents must be able to locate one another. Therefore, face detection (FD) and consequent tracking represents an area of great importance for interaction.


  1. 1.
    Kaplan, F., Hafner, V.V.: The challenges of joint attention. Interaction Studies 7(2), 135–169 (2006)CrossRefGoogle Scholar
  2. 2.
    Pothen, A., Fan, C.-J.: Computing the block triangular form of a sparse matrix. ACM Trans. Math. Softw. 16(4), 303–324 (1990)MathSciNetCrossRefzbMATHGoogle Scholar
  3. 3.
    Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Comput. Vision 57(2), 137–154 (2004)CrossRefGoogle Scholar
  4. 4.
    Wu, H., Suzuki, K., Wada, T., Chen, Q.: Accelerating face detection by using depth information. In: Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology, pp. 657–667. Springer, Heidelberg (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sasa Bodiroza
    • 1
  1. 1.Cognitive Robotics Group, Institut für InformatikHumboldt-Universität zu BerlinBerlinGermany

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