Automatic projector calibration with embedded light sensors

Lee, Johnny C.; Dietz, Paul; Maynes-Aminzade, Dan; Raskar, Ramesh; Hudson, Scott E.

doi:10.1145/1029632.1029653

Cited by 80 publications

(41 citation statements)

References 6 publications

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“…Dao et al [13] and Lee et al [14] show how to automatically adapt the projector calibration parameters to the projection surface. However, these systems ignore the influence of the user's viewpoint.…”

Section: Related Workmentioning

confidence: 99%

User Model for Predictive Calibration Control on Interactive Screens

Migge

Kunz

2010

2010 International Conference on Cyberworlds

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Abstract-On interactive surfaces, a precise calibration of the tracking system is necessary for an exact user interaction. So far, common calibration techniques focus on eliminating geometric distortions. This static calibration is only correct for a specific viewpoint of one single user and parallax error distortions still occur if this changes (i.e. if the user moves in front of the digital screen).In order to overcome this problem, we present an empirical model of the user's position and movement in front of a digital screen. With this, a model predictive controller is able to correct the parallax error for future positions of the user. We deduce the model's parameters from a user study on a large interactive whiteboard, in which we measured the 3D position of the user's viewpoint during common interaction tasks.

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Section: Related Workmentioning

confidence: 99%

User Model for Predictive Calibration Control on Interactive Screens

Migge

Kunz

2010

2010 International Conference on Cyberworlds

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“…In [10], we presented a technique for discovering the locations of optical sensors in the projection area by using a sequence of black and white Gray-coded binary patterns. This technique provides the basic foundation of using a projector as a location discovery technology as well as a display device.…”

Section: Related Workmentioning

confidence: 99%

Moveable interactive projected displays using projector based tracking

Lee

Hudson

Summet

et al. 2005

Proceedings of the 18th Annual ACM Symposium on User Interface Software and Technology

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Video projectors have typically been used to display images on surfaces whose geometric relationship to the projector remains constant, wuch as walls or pre-calibrated surfaces. In this paper, we present a technique for projecting content onto moveable surfaces that adapts to the motion and location of the surface to simulate an active display. This is accomplished using a projector based location tracking technique. We use light sensors embedded into the moveable surface and project low-perceptibility Gray-coded patterns to first discover the sensor locations, and then imcrementally track them at interactive rates. We describe how to reduce the perceptibility of tracking patterns, achieve interactive tracking rates, use motion modeling to improve tracaking performance, and respond to sensor occlusions. A group of tracked sensors can define quadrangles for simulating moveable displays while single sensors can be used as control inputs. By unifying the tracking and display technology into a single mechanism, we can substantially reduce the cost and complexity of implementing applications that combine motion tracking and projected imagery. ACM Symposium on User Interface Software & Technology (UIST)This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Video projectors have typically been used to display images on surfaces whose geometric relationship to the projector remains constant, such as walls or pre-calibrated surfaces.In this paper, we present a technique for projecting content onto moveable surfaces that adapts to the motion and location of the surface to simulate an active display. This is accomplished using a projector based location tracking techinque. We use light sensors embedded into the moveable surface and project low-perceptibility Graycoded patterns to first discover the sensor locations, and then incrementally track them at interactive rates. We describe how to reduce the perceptibility of tracking patterns, achieve interactive tracking rates, use motion modeling to improve tracking performance, and respond to sensor occlusions. A group of tracked sensors can define quadrangles for simulating moveable displays while single sensors can be used as control inputs. By unifying the tracking and display technology into a single mechanism, we can substantially reduce the cost and complexity of implementing applications that combine motion tracking and projected imagery.

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“…By using a pre-calibrated model of the room and its targets (P t/R0 ), the PAA can dynamically adapt its keystone correction to project an undistorted spotlight on a given target, even while the PAA is moving. This pre-calibration allows us to use a simpler tracking model that does not require dynamic recalibration [17] or a separate camera to correct the distortion [28,31]. The coordinates of the projector, the target, and the surface it is on suffice.…”

Section: Methodsmentioning

confidence: 99%