TR2001-46

A Self-Correcting Projector

    •  Raskar, R., Beardsley, P.A., "A Self-Correcting Projector", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), December 2001, vol. 2, pp. 504-508.
      BibTeX TR2001-46 PDF
      • @inproceedings{Raskar2001dec,
      • author = {Raskar, R. and Beardsley, P.A.},
      • title = {A Self-Correcting Projector},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2001,
      • volume = 2,
      • pages = {504--508},
      • month = dec,
      • issn = {1063-6919},
      • url = {https://www.merl.com/publications/TR2001-46}
      • }
  • Research Area:

    Computer Vision

Abstract:

We describe a calibration and rendering technique for a projector that can render rectangular images under keystoned position. The projector utilizes a rigidly attached camera to form a stereo pair. We describe a very easy to use technique for calibration of the projector-camera pair using only black planar surfaces. We present an efficient rendering method to pre-warp images so that they appear correctly on the screen, and show experimental results.

 

  • Related News & Events

    •  NEWS    CVPR 2001: 4 publications by Paul Beardsley, Matthew Brand, Ramesh Raskar and Michael Jones
      Date: December 9, 2001
      Where: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
      MERL Contacts: Michael J. Jones; Matthew Brand
      Brief
      • The papers "Morphable 3D Models from Video" by Brand, M.E., "Flexible Flow for 3D Nonrigid Tracking and Shape Recovery" by Brand, M.E. and Bhotika, R., "A Self-Correcting Projector" by Raskar, R. and Beardsley, P.A. and "Rapid Object Detection Using a Boosted Cascade of Simple Features" by Viola, P. and Jones, M. were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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