• DocumentCode
    2144468
  • Title

    Determining illumination sources in frontal face images using salient samples from a face depth map

  • Author

    Seke, Erol

  • Author_Institution
    Eskisehir Osmangazi Univ., Eskisehir, Turkey
  • fYear
    2011
  • fDate
    15-18 June 2011
  • Firstpage
    173
  • Lastpage
    176
  • Abstract
    An efficient method is presented for determining multiple light sources illuminating faces using a general face depth map for comparable image generation. A 3D face depth map is artificially illuminated by known sources from several known directions and a set of samples from each resulting image is collected. These and corresponding samples from probed face image are used to find the light source vectors that generates an artificial face image whose samples are illuminated optimally similar to the probed face. Since the artificial data are pre-calculated and stored, illumination calculation is quite fast for a given frontal face image.
  • Keywords
    face recognition; lighting; face depth map; frontal face images; illumination source determination; image generation; light source vectors; probed face image; salient samples; Databases; Face; Face recognition; Image reconstruction; Light sources; Lighting; Three dimensional displays; face reconstruction; illumination sources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-61284-919-5
  • Type

    conf

  • DOI
    10.1109/INISTA.2011.5946129
  • Filename
    5946129