• DocumentCode
    2860948
  • Title

    Automatic Projector Calibration Using Self-Identifying Patterns

  • Author

    Fiala, Mark

  • Author_Institution
    NRC 1200 Montreal RD
  • fYear
    2005
  • fDate
    25-25 June 2005
  • Firstpage
    113
  • Lastpage
    113
  • Abstract
    Calibrating multiple monitor or projector display elements to provide a composite image can be a time-consuming task if performed manually. Ideally the user would like to roughly aim a number of projectors at a surface, define the desired display corners, and have some automatic method to align the display. A digital camera and computer vision can be used to calibrate the projectors with the assistance of self-identifying patterns. To account for distortion effects and to equalize brightness, it is desirable to know the mapping of many points within each projector image. A small set of images can be projected from each display element if a self-identifying pattern is used. An array of ARTag markers are used as a self-identifying pattern which is displayed in turn by each of the display monitors or projectors and recognized in the camera image. In this way an ad-hoc arrangement of projectors can be calibrated in seconds. Experimental results are shown validating this architecture.
  • Keywords
    Brightness; Calibration; Computer displays; Computer vision; Digital cameras; Image recognition; Monitoring; Pattern recognition; Rough surfaces; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition - Workshops, 2005. CVPR Workshops. IEEE Computer Society Conference on
  • Conference_Location
    San Diego, CA, USA
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.416
  • Filename
    1565423