• DocumentCode
    1660034
  • Title

    Illumination-invariant representation for natural colour images through SIFT matching

  • Author

    Sur, Frederic

  • Author_Institution
    LORIA-projet Magrit, Univ. de Lorraine, Vandoeuvre-lès-Nancy, France
  • fYear
    2013
  • Firstpage
    1962
  • Lastpage
    1966
  • Abstract
    Illumination conditions may severely impair many computer vision applications. Defining an illumination-invariant representation from a colour image is therefore of great interest. Assuming that two views of a scene are available, we show that it is easy to derive such a representation from correspondences between interest points, within a Lambertian reflectance / Planckian lighting model. An application to shadow removal or lightening is also discussed.
  • Keywords
    image colour analysis; image matching; image representation; lighting; transforms; Lambertian reflectance; Planckian lighting model; SIFT matching; computer vision applications; illumination conditions; illumination-invariant representation; natural colour images; shadow lightening; shadow removal; Cameras; Computer vision; Image color analysis; Image edge detection; Lighting; Three-dimensional displays; Vectors; Illumination-invariant representation; Lambertian reflectance; Planckian lighting; SIFT; shadows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6637996
  • Filename
    6637996
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1660034