• DocumentCode
    3038776
  • Title

    Illumination invariant object recognition

  • Author

    Bichsel, Martin

  • Author_Institution
    Dept. of Comput. Sci., Zurich Univ., Switzerland
  • Volume
    3
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    620
  • Abstract
    Varying illumination is severe problem for existing face recognition algorithms. Altering the light direction from left to right, for example, causes a change of contrast in large face regions and causes most face recognition algorithms to fail. Theoretical results, based on the law of incoherent light superposition, provide the solid ground on which a new illumination invariant recognition algorithm is derived. A face recognition experiment demonstrates that this algorithm indeed shows improved recognition performance even if the conditions, for which the theoretical results were derived, do not hold exactly
  • Keywords
    face recognition; image recognition; light sources; lighting; object recognition; contrast; face recognition algorithms; face recognition experiment; face regions; illumination invariant object recognition; illumination invariant recognition algorithm; incoherent light superposition; light direction; recognition performance; Computer science; Face recognition; Laboratories; Layout; Light sources; Lighting; Object recognition; Pixel; Solids; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537711
  • Filename
    537711