• DocumentCode
    579836
  • Title

    Optimising Light Source Positions to Minimise Illumination Variation for 3D Vision

  • Author

    Botterill, Tom ; Mills, Steven ; Green, Richard ; Lotz, Thomas

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Canterbury, Christchurch, New Zealand
  • fYear
    2012
  • fDate
    13-15 Oct. 2012
  • Firstpage
    222
  • Lastpage
    229
  • Abstract
    Machine vision lighting systems must be designed to evenly illuminate scenes, so that objects´ appearances do not change depending on their position. This is challenging when imaging 3D scenes where the camera´s field of view or depth of field are large. This paper describes a scheme to design effective lighting systems in such situations: lighting across the scene is modelled, and positions of lights are optimised to minimise variation in illumination levels. The scheme is used to design a lighting system for an agricultural robot, which reduces variation in the appearance of crops due to uneven lighting. The lighting for a compact medical imaging device is redesigned, which will result in a 53% reduction in the range of lighting levels in the scene.
  • Keywords
    crops; lighting; robot vision; 3D scene imaging; 3D vision; agricultural robot; compact medical imaging device; crop; illumination variation minimisation; light source position optimisation; machine vision lighting system; Cameras; Layout; Light sources; Lighting; Machine vision; Optimization; Robots; Image Reconstruction; Lighting; Machine Vision; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2012 Second International Conference on
  • Conference_Location
    Zurich
  • Print_ISBN
    978-1-4673-4470-8
  • Type

    conf

  • DOI
    10.1109/3DIMPVT.2012.13
  • Filename
    6374998