Sensors 2013, 13(10), 13318-13333; doi:10.3390/s131013318

A Visual Servoing-Based Method for ProCam Systems Calibration

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Received: 3 July 2013; in revised form: 27 August 2013 / Accepted: 23 September 2013 / Published: 1 October 2013
(This article belongs to the Section Physical Sensors)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: Projector-camera systems are currently used in a wide field of applications, such as 3D reconstruction and augmented reality, and can provide accurate measurements, depending on the configuration and calibration. Frequently, the calibration task is divided into two steps: camera calibration followed by projector calibration. The latter still poses certain problems that are not easy to solve, such as the difficulty in obtaining a set of 2D–3D points to compute the projection matrix between the projector and the world. Existing methods are either not sufficiently accurate or not flexible. We propose an easy and automatic method to calibrate such systems that consists in projecting a calibration pattern and superimposing it automatically on a known printed pattern. The projected pattern is provided by a virtual camera observing a virtual pattern in an OpenGL model. The projector displays what the virtual camera visualizes. Thus, the projected pattern can be controlled and superimposed on the printed one with the aid of visual servoing. Our experimental results compare favorably with those of other methods considering both usability and accuracy.
Keywords: projector calibration; structured light system; OpenGL modeling; visual servoing
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MDPI and ACS Style

Berry, F.; Aider, O.A.; Mosnier, J. A Visual Servoing-Based Method for ProCam Systems Calibration. Sensors 2013, 13, 13318-13333.

AMA Style

Berry F, Aider OA, Mosnier J. A Visual Servoing-Based Method for ProCam Systems Calibration. Sensors. 2013; 13(10):13318-13333.

Chicago/Turabian Style

Berry, Francois; Aider, Omar A.; Mosnier, Jeremie. 2013. "A Visual Servoing-Based Method for ProCam Systems Calibration." Sensors 13, no. 10: 13318-13333.

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