• DocumentCode
    3493022
  • Title

    A hybrid face detection approach for real-time depolyment on mobile devices

  • Author

    Rahman, Mohammad ; Kehtarnavaz, Nasser ; Ren, Jianfeng

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Texas at Dallas, Dallas, TX, USA
  • fYear
    2009
  • fDate
    7-10 Nov. 2009
  • Firstpage
    3233
  • Lastpage
    3236
  • Abstract
    Although there are many face detection algorithms in the literature, only a handful of them meet the real-time constraints of a software-based solution without using any dedicated hardware engine. This paper presents a real-time and robust solution for mobile platforms which in general have limited computation and memory resources as compared to PC platforms. This solution involves combining our two previous real-time implementations for mobile platforms to address the shortcoming of each implementation. The first implementation provides an online or on-the-fly light source calibration for the second implementation which is found to be robust to various face poses or orientations. The real-time results obtained on an actual mobile platform indicate both the real-time and robustness capabilities of this hybrid face detection solution.
  • Keywords
    face recognition; mobile computing; real-time systems; face detection; mobile devices; real-time depolyment; software-based solution; Clustering algorithms; Color; Coprocessors; Face detection; Hardware; Image processing; Mobile computing; Pixel; Robustness; Skin; Face detection; mobile platform implementation; real-time face detection; robust face detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2009 16th IEEE International Conference on
  • Conference_Location
    Cairo
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-5653-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2009.5414361
  • Filename
    5414361