• DocumentCode
    2962348
  • Title

    Color calibration of multi-projector displays through automatic optimization of hardware settings

  • Author

    Steele, R Matt ; Mao Ye ; Ruigang Yang

  • Author_Institution
    Center for Visualization & Virtual Environments, Univ. of Kentucky, Lexington, KY, USA
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Firstpage
    55
  • Lastpage
    60
  • Abstract
    We describe a system that performs automatic, camera-based photometric projector calibration by adjusting hardware settings (e.g. brightness, contrast, etc.). The approach has two basic advantages over software-correction methods. First, there is no software interface imposed on graphical programs: all imagery displayed on the projector benefits from the calibration immediately, without render-time overhead or code changes. Secondly, the approach benefits from the fact that projector hardware settings typically are capable of expanding or shifting color gamuts (e.g. trading off maximum brightness versus darkness of black levels), something that software methods, which only shrink gamuts, cannot do. In practice this means that hardware settings can possibly match colors between projectors while maintaining a larger overall color gamut (e.g. better contrast) than software-only correction can. The prototype system is fully automatic. The space of hardware settings is explored by using a computer-controlled universal remote to navigate each projector´s menu system. An off-the-shelf camera observes each projector´s response curves. A cost function is computed for the curves based on their similarity to each other, as well as intrinsic characteristics, including color balance, black level, gamma, and dynamic range. An approximate optimum is found using a heuristic combinatoric search. Results show significant qualitative improvements in the absolute colors, as well as the color consistency, of the display.
  • Keywords
    calibration; colour displays; optimisation; search problems; user interfaces; automatic camera-based photometric projector calibration; automatic hardware setting optimization; black level; color balance; color calibration; computer-controlled universal remote; cost function; dynamic range; graphical program; heuristic combinatoric search; intrinsic characteristics; menu system; multiprojector display; software-correction method; Brightness; Calibration; Color; Displays; Hardware; Navigation; Photometry; Prototypes; Rendering (computer graphics); Software prototyping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. IEEE Computer Society Conference on
  • Conference_Location
    Miami, FL
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-3994-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2009.5204322
  • Filename
    5204322