• DocumentCode
    3135793
  • Title

    Demo: Robust face recognition via sparse representation

  • Author

    Wright, John ; Ganesh, Arvind ; Zhou, Zihan ; Wagner, Andrew ; Ma, Yi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL
  • fYear
    2008
  • fDate
    17-19 Sept. 2008
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This work builds on the method of to create a prototype access control system, capable of handling variations in illumination and expression, as well as significant occlusion or disguise. Our demonstration will allow participants to interact with the algorithm, gaining a better understanding strengths and limitations of sparse representation as a tool for robust recognition.
  • Keywords
    biometrics (access control); face recognition; access control system; automatic face recognition; nonintrusive biometric; robust face recognition; sparse representation; Access control; Cameras; Computer vision; Face detection; Face recognition; Image recognition; Lighting; Prototypes; Robustness; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
  • Conference_Location
    Amsterdam
  • Print_ISBN
    978-1-4244-2153-4
  • Electronic_ISBN
    978-1-4244-2154-1
  • Type

    conf

  • DOI
    10.1109/AFGR.2008.4813404
  • Filename
    4813404
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3135793