Shadow elimination and occluder light suppression for multi-projector displays

Tat Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar

Research output: Contribution to journalConference articlepeer-review

Abstract

Two related problems of front projection displays which occur when users obscure a projector are: (i) undersirable shaddows cast on the display by the users, and (ii) projected light falling on and distracting the users. This paper provides a computational framework for solving these two problems based on multiple overlapping projectors and cameras. The overlapping projectors are automatically aligned to display the same dekeystoned image. The system detects when and where shadows are cast by occluders and is able to determine the pixels which are occluded in different projectors. Through a feedback control loop, the contributions of unoccluded pixels from other projectors are boosted in the shadowed regions, thereby eliminating the shadows. In addition, pixels which are being occluded are blanked, thereby preventing the projected light from falling on a user when they occlude the display. This can be accomplished even when the occluders are not visible to the camera. The paper presents results from a number of experiments demonstrating that the system converges rapidly with low steady-state errors.

Original languageEnglish (US)
Pages (from-to)II/513-II/520
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2
StatePublished - 2003
Externally publishedYes
Event2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003 - Madison, WI, United States
Duration: Jun 18 2003Jun 20 2003

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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