Robust and accurate visual echo cancelation in a full-duplex projector-camera system

Miao Liao, Mingxuan Sun, Ruigang Yang, Zhengyou Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We developed a comprehensive set of techniques to address the "visual echo" problem in a full-duplex projector-camera 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.

Original languageEnglish
Title of host publication2006 Conference on Computer Vision and Pattern Recognition Workshop
DOIs
StatePublished - 2006
Event2006 Conference on Computer Vision and Pattern Recognition Workshops - New York, NY, United States
Duration: Jun 17 2006Jun 22 2006

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2006
ISSN (Print)1063-6919

Conference

Conference2006 Conference on Computer Vision and Pattern Recognition Workshops
Country/TerritoryUnited States
CityNew York, NY
Period6/17/066/22/06

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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