• DocumentCode
    3673938
  • Title

    TAEF: A cross-distance/environment face recognition method

  • Author

    Chun-Ting Huang;Zhengning Wang;C.-C. Jay Kuo

  • Author_Institution
    University of Southern California, Los Angeles, United States
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A solution to long distance outdoor face recognition is presented in this work. The proposed method, called the Two-Stage Alignment/Enhancement Filtering (TAEF) system, consists of three main components: a cross-distance face alignment technique, a cross-environment face enhancement technique, and a two-stage filtering system. Given a probe image, the procedure of face alignment, enhancement and matching is executed against all gallery images to eliminate unlikely candidates at once at the first stage for efficiency. Then, the procedure is conducted for every individual probe/gallery image pair for higher accuracy at the second stage. The first rank recognition rates of the TAEF method are 100%, 100% and 97% for 60-, 100- and 150-meter visible-light images in the LDHF database, respectively.
  • Keywords
    "Face","Databases","Probes","Training","Shape","Face recognition","Active appearance model"
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2015 IEEE Conference on
  • Electronic_ISBN
    2160-7516
  • Type

    conf

  • DOI
    10.1109/CVPRW.2015.7301313
  • Filename
    7301313