• DocumentCode
    2118224
  • Title

    LDA-based face recognition using multiple distance training face images with low user cooperation

  • Author

    Hae-Min Moon ; Dongjin Choi ; Pankoo Kim ; Sung Bum Pan

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Chosun Univ., Gwangju, South Korea
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    7
  • Lastpage
    8
  • Abstract
    The LDA-based face recognition using face images by actual distance as training images showed good performance. However, it causes user inconvenience as it requires the user to move multiple distance in person to acquire face images for initial user registration. In this paper, LDA-based face recognition applicable to robotic environments is proposed. The proposed method can get face images by distance by zooming in on face of users without their cooperation and use those images for training. The experimental results show that the face recognition performance of the proposed method was as good as that of the method using face images by distance, which are taken after users are located at fixed positions within a fixed distance, for training.
  • Keywords
    face recognition; statistical analysis; LDA-based face recognition; linear discriminant analysis; low user cooperation; multiple distance training face images; robotic environments; Cameras; Face; Face recognition; Integrated optics; Optical imaging; Robots; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2015 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-7542-6
  • Type

    conf

  • DOI
    10.1109/ICCE.2015.7066297
  • Filename
    7066297