• DocumentCode
    3463194
  • Title

    Projector optical distortion calibration using Gray code patterns

  • Author

    Jordan, Samuel ; Greenspan, Michael

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Queen´´s Univ., Kingston, ON, Canada
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    72
  • Lastpage
    79
  • Abstract
    A method is presented for correcting optical distortion in data projectors using a single camera and Gray coded structured light patterns. The proposed method assumes that both the camera and projector exhibit significant nonlinear optical distortion and the projection surfaces can be planar or freeform. Calibrated systems produce geometrically correct, extremely short throw projections, while maintaining or exceeding the projection size of a standard configuration. Both qualitative and quantitative tests are run to verify the accuracy of this method and we achieved a throw ratio of 0.5 with an average camera pixel distance error of 1.5.
  • Keywords
    Gray codes; augmented reality; calibration; image segmentation; optical distortion; optical images; optical projectors; calibrated systems; camera pixel distance error; data projectors; gray code patterns; projection surfaces; projector optical distortion calibration; Augmented reality; Calibration; Cameras; Data engineering; Lenses; Optical computing; Optical distortion; Reflective binary codes; Testing; Ultraviolet sources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-7029-7
  • Type

    conf

  • DOI
    10.1109/CVPRW.2010.5543487
  • Filename
    5543487