A FEATURE DETECTION ALGORITHM FOR AUTONOMOUS CAMERA CALIBRATION
Kyung Min Han, Guilherme N. DeSouza
2007
Abstract
This paper presents an adaptive and robust algorithm for automatic corner detection. Ordinary camera calibration methods require that a set of feature points – usually, corner points of a chessboard type of pattern – be presented to the camera in a controlled manner. On the other hand, the proposed approach automatically locates the feature points even in the presence of cluttered background, change in illumination, arbitrary poses of the pattern, etc. As the results demonstrate, the proposed technique is much more appropriate to automatic camera calibration than other existing methods.
DownloadPaper Citation
in Harvard Style
Min Han K. and N. DeSouza G. (2007). A FEATURE DETECTION ALGORITHM FOR AUTONOMOUS CAMERA CALIBRATION . In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO, ISBN 978-972-8865-83-2, pages 286-291. DOI: 10.5220/0001631902860291
in Bibtex Style
@conference{icinco07,
author={Kyung Min Han and Guilherme N. DeSouza},
title={A FEATURE DETECTION ALGORITHM FOR AUTONOMOUS CAMERA CALIBRATION},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,},
year={2007},
pages={286-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001631902860291},
isbn={978-972-8865-83-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 4: ICINCO,
TI - A FEATURE DETECTION ALGORITHM FOR AUTONOMOUS CAMERA CALIBRATION
SN - 978-972-8865-83-2
AU - Min Han K.
AU - N. DeSouza G.
PY - 2007
SP - 286
EP - 291
DO - 10.5220/0001631902860291