• DocumentCode
    3351147
  • Title

    A real-time face detector using ellipse-like features

  • Author

    Zhang, Sicheng ; Liu, ZhiQiang

  • Author_Institution
    Sch. of Creative Media, City Univ. of Hong Kong, China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1227
  • Abstract
    In this paper, we present a real-time face detector based on the detection of ellipse-like face shapes and face texture features. First, we propose a new ellipse-like detection algorithm based on improved fast Hough transform techniques. Then a face shape detector is developed that uses rules to detect the ellipse-like shape detector. Finally, we utilize a texture matching method through multiple stages of classifiers to determine whether the candidate region contains face. Our experiments show indeed that the proposed detector is accurate and efficient in real-time applications.
  • Keywords
    Hough transforms; face recognition; feature extraction; image classification; image matching; image texture; object detection; ellipse-like detection algorithm; ellipse-like face shapes; face texture features; fast Hough transform techniques; knowledge-based rules; real-time face detector; texture matching method; Computational efficiency; Computer vision; Detectors; Face detection; Facial features; Hair; Humans; Noise robustness; Noise shaping; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441546
  • Filename
    1441546