• DocumentCode
    2073308
  • Title

    Robust and Accurate Visual Echo Cancelation in a Full-Duplex Projector-Camera System

  • Author

    Liao, Miao ; Sun, Mingxuan ; Yang, Ruigang ; Zhang, Zhengyou

  • Author_Institution
    The University of Kentucky, USA
  • fYear
    2006
  • fDate
    17-22 June 2006
  • Firstpage
    10
  • Lastpage
    10
  • Abstract
    We developed a comprehensive set of techniques to address the “visual echo” problem in a full-duplex projectorcamera system. A calibration procedure records the geometric and photometric transfer between the projector and camera in a look-up table. With the calibration information, the predicted camera view of the projected image is compared against the captured camera image to find echo pixels. Only non-echo pixels are used for display, therefore achieving the goal of suppressing visual echo. Compared to previous techniques, our approach’s main advantages are two-fold. First, it accurately handles full color images with no assumption about the surface reflectance or the photometric response of the projector or camera. Secondly, it is robust to geometric registration errors and quantization effect. It is particularly effective for high-frequency contents such as texts and hand drawings. We demonstrate the effectiveness of our approach with a variety of real images in a full-duplex projector-camera system.
  • Keywords
    Calibration; Cameras; Color; Displays; Photometry; Pixel; Quantization; Reflectivity; Robustness; Table lookup;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. Conference on
  • Print_ISBN
    0-7695-2646-2
  • Type

    conf

  • DOI
    10.1109/CVPRW.2006.170
  • Filename
    1640448