• DocumentCode
    1662206
  • Title

    Face detection in mobile phones using Co-occurrence of adjacent Local Binary Patterns

  • Author

    Wang, Jiacheng ; Dohyoung Lee ; Plataniotis, Konstantinos N.

  • Author_Institution
    Edward S. Rogers Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2013
  • Firstpage
    2410
  • Lastpage
    2414
  • Abstract
    This paper investigates a novel combination of Co-occurrence of adjacent Local Binary Patterns histogram and Local Binary Patterns feature extraction methods for face detection in mobile phone applications. In particular, Co-occurrence of adjacent Local Binary Patterns histogram feature extraction provides exceptionally high discriminative power in face/non-face classification and hence is used to ensure the high accuracy of the proposed face detector. Local Binary Patterns feature extraction has low computation complexity and is thus used to reduce the overall processing speed. In the conducted face detection experiments, the proposed face detector yields comparable or better performance as well as faster computation speed than the existing best methods.
  • Keywords
    computational complexity; face recognition; feature extraction; image classification; mobile handsets; adjacent local binary patterns histogram; computation complexity; computation speed; face detection; face-nonface classification; local binary patterns feature extraction methods; mobile phone applications; Detectors; Face; Face detection; Feature extraction; Histograms; Lighting; Mobile handsets; Feature extraction; Frontal face detection; Local Binary Patterns; Mobile Phone;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638087
  • Filename
    6638087