• DocumentCode
    1664652
  • Title

    Light source estimation from a single image

  • Author

    Nguyen, R.M.H. ; Minh Ngoc Le

  • Author_Institution
    Comput. Sci. & Eng., HCMC Univ. of Technol., Ho Chi Minh City, Vietnam
  • fYear
    2012
  • Firstpage
    1358
  • Lastpage
    1363
  • Abstract
    One of the most difficult problems in Augmented Reality is how to ensure that the luminance of virtual objects embedded in a real scene is consistent with the real luminance. This paper shows an approach to identifying the illumination information from a single image of a real scene. Based on the assumption that the object used as a light probe has a globally convex shape, we can employ it to determine the illumination information in terms of the direction and the intensity.
  • Keywords
    augmented reality; brightness; computer vision; realistic images; shape recognition; augmented reality; computer vision; globally convex shape; illumination information identification; light probe; light source estimation; real luminance; real scene; single image; virtual object; Azimuth; Cameras; Light sources; Lighting; Probes; Shape; Vectors; Computer vision; Lambertian surface; illuminant detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485343
  • Filename
    6485343