• DocumentCode
    3046275
  • Title

    Automatic keystone correction for smart projectors with embedded camera

  • Author

    Li, Baoxin ; Sezan, Ibrahim

  • Author_Institution
    Sharp Lab. of America Inc., Camas, WA, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    24-27 Oct. 2004
  • Firstpage
    2829
  • Abstract
    We propose embedded algorithms for enabling a smart self-adjusting projector that is capable of fully automatic keystone distortion detection and correction, plus zooming and centering the image to fit a screen. The projector has an embedded camera and it automatically detects the screen and a specific pattern during self-adjustment. Proposed algorithms meet severe computational requirements of a portable projector and they exploit the physical constraints in a projector-(embedded) camera pair in a novel way in order to not compromise image quality under different usage conditions. We will demonstrate our projector system during the conference.
  • Keywords
    CMOS image sensors; cameras; constraint theory; image processing; optical projectors; automatic keystone distortion correction-detection; embedded camera; physical constraint; smart self-adjusting projector; Computer vision; Costs; Home appliances; Image quality; Laboratories; Optical distortion; Optical imaging; Physics computing; Portable computers; Smart cameras;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2004. ICIP '04. 2004 International Conference on
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-8554-3
  • Type

    conf

  • DOI
    10.1109/ICIP.2004.1421693
  • Filename
    1421693