• DocumentCode
    3219627
  • Title

    A PDA-based face recognition system

  • Author

    Yang, Jie ; Chen, Xilin ; Kunz, William

  • Author_Institution
    Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    19
  • Lastpage
    23
  • Abstract
    In this paper, we present a PDA-based face recognition system as well as some of the associated challenges of developing a PDA-based face recognition system. We describe a prototype system built from an off the shelf PDA, and introduce algorithms for image preprocessing to enhance the quality of the image by sharpening focus, and normalizing both lighting condition and head rotation. We use a unified LDA/PCA algorithm for face recognition. The algorithm maximizes the LDA criterion directly without a separate PCA step, which eliminates the possibility of losing discriminative information due to a separate PCA step. We demonstrate effectiveness of these algorithms and the feasibility of this system by experimental results. This system has many applications including information retrieval and law enforcement.
  • Keywords
    face recognition; notebook computers; principal component analysis; face recognition; head rotation; image preprocessing; information retrieval; lighting condition; personal digital assistant; prototype system; Cameras; Face recognition; Feedback; Focusing; Head; Lenses; Linear discriminant analysis; Personal digital assistants; Principal component analysis; Prototypes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision, 2002. (WACV 2002). Proceedings. Sixth IEEE Workshop on
  • Print_ISBN
    0-7695-1858-3
  • Type

    conf

  • DOI
    10.1109/ACV.2002.1182149
  • Filename
    1182149