• DocumentCode
    312573
  • Title

    Extraction of the human face from natural background using GAs

  • Author

    Suzuki, Yuya ; Saito, Hideo ; Ozawa, Shinji

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Japan
  • Volume
    1
  • fYear
    1996
  • fDate
    26-29 Nov 1996
  • Firstpage
    221
  • Abstract
    The study of human face recognition is becoming more and more popular. For these tasks, there is a need to cut off the facial region from the image. Here we propose a method which can automatically cut off the full human facial region from an image with natural background by the use of genetic algorithms and SNAKES. The use of genetic algorithms enables to search globally for the approximate size and position of the face and SNAKES enables to search robustly from this approximate contour to a more specific contour
  • Keywords
    face recognition; feature extraction; genetic algorithms; image segmentation; SNAKES; approximate contour; face recognition; facial region; genetic algorithms; human face extraction; natural background; Counting circuits; Face detection; Filters; Genetic algorithms; Gold; Hair; Head; Humans; Image edge detection; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-3679-8
  • Type

    conf

  • DOI
    10.1109/TENCON.1996.608796
  • Filename
    608796