• DocumentCode
    2322556
  • Title

    Verifying a User in a Personal Face Space

  • Author

    Tao, Q. ; Veldhuis, R.N.J.

  • Author_Institution
    Signals & Syst. Group, Twente Univ., Enschede
  • fYear
    2006
  • fDate
    5-8 Dec. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For user verification on a personal digital assistant (PDA), a fast and simple system is developed. In the enrollment phase, face detection and registration are done by a Viola-Jones based method, taking advantage of its accuracy and speed. The face feature vectors obtained this way are then used to build up a face space specific to the user by principal component analysis (PCA). Furthermore, the face variations caused by small registration shifts are also modeled, in order to better capture the variation in the face space, and simplify the enrollment. Current experiments show that this system is fast, efficient, and accurate
  • Keywords
    face recognition; feature extraction; image registration; mobile computing; notebook computers; object detection; principal component analysis; Viola-Jones based method; face detection; face feature vectors; face registration; personal digital assistant; personal face space; principal component analysis; user verification; Eyes; Face detection; Face recognition; Facial features; Feature extraction; Nose; Personal digital assistants; Principal component analysis; Robustness; Shape; PCA; Viola-Jones method; face space; user verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    1-4244-0341-3
  • Electronic_ISBN
    1-4214-042-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2006.345479
  • Filename
    4150408