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Authors: Kyung min Han ; Yuanqiang Dong and Guilherme DeSouza

Affiliation: University of Missouri, United States

Keyword(s): Vision sensor network, Image clustering, Global coordinate reference.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Robotics and Automation ; Virtual Environment, Virtual and Augmented Reality ; Vision, Recognition and Reconstruction

Abstract: This paper presents a completely autonomous camera calibration framework for a vision sensor network consisting of a large number of arbitrarily arranged cameras. In the proposed framework, a sequence of images for calibration is collected without a tedious human intervention. Next, the system automatically extracts all necessary features from the images and finds the best set of images that minimizes the error in 3D reconstruction considering all cameras in the set.

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Paper citation in several formats:
min Han, K.; Dong, Y. and DeSouza, G. (2010). EXPERIMENTING WITH AUTONOMOUS CALIBRATION OF A CAMERA RIG ON A VISION SENSOR NETWORK. In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-8425-00-3; ISSN 2184-2809, SciTePress, pages 234-237. DOI: 10.5220/0002924802340237

@conference{icinco10,
author={Kyung {min Han}. and Yuanqiang Dong. and Guilherme DeSouza.},
title={EXPERIMENTING WITH AUTONOMOUS CALIBRATION OF A CAMERA RIG ON A VISION SENSOR NETWORK},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2010},
pages={234-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002924802340237},
isbn={978-989-8425-00-3},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - EXPERIMENTING WITH AUTONOMOUS CALIBRATION OF A CAMERA RIG ON A VISION SENSOR NETWORK
SN - 978-989-8425-00-3
IS - 2184-2809
AU - min Han, K.
AU - Dong, Y.
AU - DeSouza, G.
PY - 2010
SP - 234
EP - 237
DO - 10.5220/0002924802340237
PB - SciTePress