DocumentCode :
1643753
Title :
Shadow elimination and occluder light suppression for multi-projector displays
Author :
Cham, Tat-Jen ; Rehg, James M. ; Sukthankar, Rahul ; Sukthankar, Gita
Author_Institution :
Sch. of Comput. Eng., Nat. Technol. Univ., Singapore
Volume :
2
fYear :
2003
Abstract :
Two related problems of front projection displays, which occur when users obscure a projector, are: (i) undesirable shadows 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.
Keywords :
cameras; computer vision; image colour analysis; image enhancement; image texture; lighting; optical feedback; optical projectors; camera; dekeystoned image; display occlusion; feedback control loop; multiple overlapping projectors; multiprojector display; occluder light suppression; projection display; shadow detection system; shadow elimination; shadowed region; steady-state error; undesirable shadow cast; unoccluded pixel; Cameras; Computer displays; Educational institutions; Feedback control; Photometry; Plasma displays; Robot kinematics; Steady-state; Surges; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-1900-8
Type :
conf
DOI :
10.1109/CVPR.2003.1211510
Filename :
1211510
Link To Document :
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