A FEATURE DETECTION ALGORITHM FOR AUTONOMOUS CAMERA CALIBRATION

Kyung Min Han, Guilherme N. DeSouza

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.

References

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Paper 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