Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
DOI: 10.1109/cvpr.2004.1315159
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A flexible projector-camera system for multi-planar displays

Abstract: We present a novel multi-planar display system based on an uncalibrated projector-camera pair. Our system exploits the juxtaposition of planar surfaces in a room to create ad-hoc visualization and display capabilities. In an office setting, for example, a desk pushed against a wall provides two perpendicular surfaces that can simultaneously display elevation and plan views of an architectural model. In contrast to previous room-level projector-camera systems, our method is based on a flexible calibration proce… Show more

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Cited by 47 publications
(37 citation statements)
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References 14 publications
(21 reference statements)
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“…Since all prior methods can achieve geometric registration only with precise physical fiducials or complete 3D reconstruction, it is difficult to find a fair comparison to our method that does not use either of them. In the absence of fiducials, we compare our method with a naive homography-based registration [29], [16] and the registration with respect to a single viewpoint of the calibrating camera [9]. In addition to the obvious misregistrations, the shape of the display shows that wallpapering cannot be achieved on the curved surface without recovering the 3D geometry of the screen.…”
Section: Resultsmentioning
confidence: 99%
“…Since all prior methods can achieve geometric registration only with precise physical fiducials or complete 3D reconstruction, it is difficult to find a fair comparison to our method that does not use either of them. In the absence of fiducials, we compare our method with a naive homography-based registration [29], [16] and the registration with respect to a single viewpoint of the calibrating camera [9]. In addition to the obvious misregistrations, the shape of the display shows that wallpapering cannot be achieved on the curved surface without recovering the 3D geometry of the screen.…”
Section: Resultsmentioning
confidence: 99%
“…Since all prior methods can achieve geometric registration only with precise physical fiducials or complete 3D reconstruction, it is difficult to find a fair comparison to our method that does not use either of them. In the absence of fiducials, we compare our method with a naive homography-based registration [3,7] and the registration with respect to a single view-point of the calibrating camera [25]. In addition to the obvious misregistrations, the shape of the display shows that wall-papering cannot be achieved on the curved surface without recovering the 3D geometry of the screen.…”
Section: Resultsmentioning
confidence: 99%
“…The implementation of most SAR systems involves multiple automatically-calibrated cameras and projectors [14]. The projectors may also be used to generate patterns of structured light to reconstruct the geometry of a multi-planar display [15], [16]. Different mechanisms for interacting with these projected user interfaces have been proposed, prototyped, and evaluated for effectiveness.…”
Section: Virtual Environmentsmentioning
confidence: 99%