• DocumentCode
    1743061
  • Title

    Human face detection using geometric triangle relationship

  • Author

    Lin, Chiunhsiun ; Fan, Kuo-Chin

  • Author_Institution
    Inst. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    941
  • Abstract
    The proposed system consists of two main parts: the first part is to search the potential face regions that are obtained from the triangles based on the rules of “the combination of two eyes and one mouth”; and the second part is to perform the face verification task. The proposed face detection system can locate multiple faces embedded in complicated backgrounds. Moreover, it is able to handle different sizes, different lighting conditions, varying poses and expressions, noises and defocus problems, and the problem of partial occlusion of mouth and sun glasses. Experimental results demonstrate that an approximately 98% success rate was achieved and the relative false detection rate is very low
  • Keywords
    computational geometry; computer vision; face recognition; image matching; image segmentation; face recognition; face verification; geometric triangle; human face detection; image matching rule; image segmentation; isosceles triangle; weighting mask function; Computer science; Computer vision; Face detection; Face recognition; Gray-scale; Humans; Image converters; Mouth; Noise robustness; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.906229
  • Filename
    906229