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Published Articles >> Table of Contents >> Abstract
Fourth International Conference on 3-D Digital Imaging and Modeling (3DIM '03)
p. 217
Multi-projectors for arbitrary surfaces without explicit calibration nor reconstruction
Jean-Philippe Tardif, Université de Montréal
Sébastien Roy, Université de Montréal
Martin Trudeau, Université de Montréal
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IM.2003.1240253
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| Abstract |
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This paper presents a new approach allowing one or more
projectors to display an undistorted image on a surface of
unknown geometry. To achieve this, a single camera is used
to capture the viewers perspective of the projection surface.
No explicit camera and projector calibration is required
since only their relative geometries are computed
using structured light patterns. There is no specific constraint
on the position or the orientation of the projectors
and the camera with respect to the projection surface, except
that the area visible to the camera must be covered by
the projectors. The procedure defines a function establishing
the correspondence of each pixel of a projector image
to a pixel of the camera image. After the mapping of each
projector has been carried out, one can display an image
corrected in real-time for the point of view of an observer,
which takes into account his position, the surface distortion,
and the projector position and orientation. This method automatically
takes into account any distortion in the projector
lenses. Typical applications of this method include projection
in small rooms, shadow elimination and wide screen
projection using multiple projectors. Intensity blending can
be combined to our method to ensure minimal visual artifacts.
The implementation has shown convincing results for
many configurations.
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Additional Information
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Citation:
Jean-Philippe Tardif, Sébastien Roy, Martin Trudeau,
"Multi-projectors for arbitrary surfaces without explicit calibration nor reconstruction,"
3dim,
p. 217,
Fourth International Conference on 3-D Digital Imaging and Modeling (3DIM '03),
2003
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