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Authors: Patrick Spicer ; Kristin Bohl ; Gil Abramovich and Jacob Barhak

Affiliation: NSF Engineering Research Center for Reconfigurable Manufacturing Systems, College of Engineering, University of Michigan, United States

Keyword(s): Machine vision, Reconfigurable Systems, Camera Calibration, Multiple Cameras, Colour Recognition.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Multimodal and Multi-Sensor Models of Image Formation ; Multi-View Geometry

Abstract: This paper describes a Reconfigurable Array for Machine Vision Inspection (RAMVI) that is able to produce spatially-accurate images combining information obtained from several cameras. Automatic camera calibration is essential for minimizing the changeover time required to reconfigure the array. This paper describes an automatic calibration method that uses a colour coded calibration grid (CCG) to determine the field of view of each camera relative to the other cameras. Since colour is integral to the calibration process, robust colour recognition is essential, particularly since several cameras are involved. Hence, a rule-based colour recognition methodology is described. Results are presented demonstrating the effectiveness of this approach under varying lighting conditions.

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Paper citation in several formats:
Spicer, P.; Bohl, K.; Abramovich, G. and Barhak, J. (2006). ROBUST CALIBRATION OF A RECONFIGURABLE CAMERA ARRAY FOR MACHINE VISION INSPECTION (RAMVI) - Using Rule-Based Colour Recognition. In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6; ISSN 2184-4321, pages 131-138. DOI: 10.5220/0001368801310138

@conference{visapp06,
author={Patrick Spicer. and Kristin Bohl. and Gil Abramovich. and Jacob Barhak.},
title={ROBUST CALIBRATION OF A RECONFIGURABLE CAMERA ARRAY FOR MACHINE VISION INSPECTION (RAMVI) - Using Rule-Based Colour Recognition},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={131-138},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001368801310138},
isbn={972-8865-40-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - ROBUST CALIBRATION OF A RECONFIGURABLE CAMERA ARRAY FOR MACHINE VISION INSPECTION (RAMVI) - Using Rule-Based Colour Recognition
SN - 972-8865-40-6
IS - 2184-4321
AU - Spicer, P.
AU - Bohl, K.
AU - Abramovich, G.
AU - Barhak, J.
PY - 2006
SP - 131
EP - 138
DO - 10.5220/0001368801310138

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