• DocumentCode
    1697558
  • Title

    New robust Hausdorff distance-based face detection

  • Author

    Srisuk, Sanun ; Kuratach, W.

  • Author_Institution
    Adv. Machine Intelligence Res. Lab. (AMIRL), Mahanakorn Univ. of Technol., Bangkok, Thailand
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1022
  • Abstract
    This paper proposes a novel approach for robust face detection based on our enhanced Hausdorff distance (HD). A major aim of this research is to achieve a highly efficient method in face detection that can be used in real-time applications. In our approach, a technique to automatically determine an appropriate size of an elliptical model is also introduced. Therefore, there is no requirement for an expert user to intervene in the process. In addition, the enhanced HD proposed in our method consumes much less computation time but provides higher efficiency and more reliability than the conventional HD
  • Keywords
    artificial intelligence; face recognition; image representation; real-time systems; AI; efficiency; elliptical model; enhanced Hausdorff distance; real time applications; reliability; robust face detection; Artificial intelligence; Face detection; High definition video; Humans; Image edge detection; Laboratories; Machine intelligence; Object detection; Robustness; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959222
  • Filename
    959222