• DocumentCode
    657899
  • Title

    Rotational Invariant Face Detection on a Mobile Device

  • Author

    Guanghui Ma ; Weiliang Meng ; Shibiao Xu ; Xiaopeng Zhang

  • Author_Institution
    LIAMA-NLPR, Inst. of Autom., Beijing, China
  • fYear
    2013
  • fDate
    14-15 Sept. 2013
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    In this paper we propose a rotation invariant face detection algorithm to detect the face on the mobile devices. Due to the performance limit on the mobile devices, complex face detection process must be avoided in order to generate a fast detection. Most proposed face detection algorithms are highly rotational variant, which means only upright face can be detected in the image, and those existed rotational invariant face detection algorithms are too complicated to be suitable for the mobile devices. Our algorithm can detect non-upright face in the image with an efficient process implemented on the mobile device (Google Nexus 7 tablet), and has different detection ranges adapting to different user choices. The experiment results reveal the validity of our proposed algorithm. Meanwhile, our algorithm can be easily implemented on other mobile systems, such as Windows Phone, iPhone and so on.
  • Keywords
    face recognition; mobile computing; Google Nexus 7 tablet; Windows Phone; iPhone; mobile devices; mobile systems; nonupright face detection; rotation invariant face detection algorithm; user choices; Classification algorithms; Detectors; Face; Face detection; Feature extraction; Mobile communication; Mobile handsets; android; face detection; mobile platforms; opencv; rotation invariant;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Reality and Visualization (ICVRV), 2013 International Conference on
  • Conference_Location
    Xi´an
  • Type

    conf

  • DOI
    10.1109/ICVRV.2013.66
  • Filename
    6689423