• DocumentCode
    3673636
  • Title

    A Survey of 2D Face Databases

  • Author

    Gabriel Castaneda;Taghi M. Khoshgoftaar

  • Author_Institution
    Florida Atlantic Univ., Boca Raton, FL, USA
  • fYear
    2015
  • Firstpage
    219
  • Lastpage
    224
  • Abstract
    Face recognition is one of the most active research topics in computer vision due to its potential applications in access control, authentication systems, law enforcement, human-machine interfaces, etc. Along with the development of face recognition algorithms, numerous face databases have been collected for face recognition evaluation. However, many of these databases are tailored to specific testing conditions. In this survey paper, an overview of the currently available 2D face databases is described explaining the conditions researchers can test in each database. Additionally, the potential for future work is discussed.
  • Keywords
    "Databases","Face","Face recognition","Lighting","Cameras","Protocols"
  • Publisher
    ieee
  • Conference_Titel
    Information Reuse and Integration (IRI), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IRI.2015.44
  • Filename
    7300980