DocumentCode :
2352148
Title :
Dynamic shadow elimination for multi-projector displays
Author :
Sukthankar, Rahul ; Cham, Tat-Jen ; Sukthankar, Gita
Author_Institution :
Compaq Res., Cambridge, MA, USA
Volume :
2
fYear :
2001
fDate :
2001
Abstract :
A major problem with interactive displays based on front-projection is that users cast undesirable shadows on the display surface. This situation is only partially addressed by mounting a single projector at an extreme angle and pre-warping the projected image to undo keystoning distortions. This paper demonstrates that shadows can be muted by redundantly illuminating the display surface using multiple projectors, all mounted at different locations. However, this technique alone does not eliminate shadows: multiple projectors create multiple dark regions on the surface (penumbral occlusions). We solve the problem by using cameras to automatically identify occlusions as they occur and dynamically adjust each projector´s output so that additional light is projected onto each partially-occluded patch. The system is self-calibrating: relevant homographies relating projectors, cameras and the display surface are recovered by observing the distortions induced in projected calibration patterns. The resulting redundantly-projected display retains the high image quality of a single-projector system while dynamically correcting for all penumbral occlusions. Our initial two-projector implementation operates at 3 Hz.
Keywords :
calibration; image processing; image processing equipment; 3 Hz; automatic occlusion identification; cameras; dynamic shadow elimination; front projection; homographies; interactive displays; multi-projector displays; multiple dark regions; partially-occluded patch; penumbral occlusions; projected calibration patterns; redundant display surface illumination; self-calibration; two-projector implementation; Cameras; Casting; Displays; Image quality; Layout; Lighting; Real time systems; Robots; Testing; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-1272-0
Type :
conf
DOI :
10.1109/CVPR.2001.990943
Filename :
990943
Link To Document :
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