Proceedings of the 5th ACM/IEEE International Workshop on Projector Camera Systems 2008
DOI: 10.1145/1394622.1394626
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Multi-projector display with continuous self-calibration

Abstract: Most existing calibration techniques for multi-projector display system require that the display configuration remain fixed during the display process. We in this paper present a new approach to continuously re-calibrate the projection system to automatically adapt to the display configuration changes, while the multi-projector system is being used without interruption. By rigidly attaching a camera to each projector, we argument the projector with sensing capability and use the camera to provide online close-… Show more

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Cited by 28 publications
(26 citation statements)
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“…Using a projector augmented by two stereo cameras, Cotting et al [8,9,12] estimate the shape of the display surface and the pose of a single projector continuously over time by embedding imperceptible calibration patterns into projected imagery. Zhou et al [27] achieve the same by tracking displayed image features. Johnson et al [13] show that multiple such units can be used in a distributed framework to achieve continuous geometric calibration in a multiprojector setup.…”
Section: Related Workmentioning
confidence: 87%
See 1 more Smart Citation
“…Using a projector augmented by two stereo cameras, Cotting et al [8,9,12] estimate the shape of the display surface and the pose of a single projector continuously over time by embedding imperceptible calibration patterns into projected imagery. Zhou et al [27] achieve the same by tracking displayed image features. Johnson et al [13] show that multiple such units can be used in a distributed framework to achieve continuous geometric calibration in a multiprojector setup.…”
Section: Related Workmentioning
confidence: 87%
“…Though there is a large body of literature that addresses such a reconstruction and registration [19,8,9,12,27,13,11,22], these are complex procedures requiring camera calibration and multiple physical fiducials on the display surface. Hence, many methods try to avoid the complexity of using multiple cameras when using non-planar screens.…”
Section: Introductionmentioning
confidence: 99%
“…Their experiment shows that uWave achieves 98.6% accuracy starting with only one training sample. Zhou Ren et al [16] designed a system called (Finger-Earth Mover's Distance (FEMD)). FEMD uses Kinect with Open NI to detect and recognize the human hand.…”
Section: Related Workmentioning
confidence: 99%
“…However, our previous studies mainly focus on calibrating a projected image onto a 2-D plane, for example, making one or more projectors display a stitched and undistorted image on a surface of unknown geometry. [13][14][15] Meanwhile, there are few reports in the literature of flexible and efficient calibration dedicated for multiprojector-type 3-D displays so far. Different from the calibration of a 2-D image, the light rays in a 3-D scene are considered as vectors such that projected images are interpreted as a combination of vectors.…”
Section: Introductionmentioning
confidence: 99%