Automatic Face Alignment by Maximizing Similarity Score

Bas Boom, Luuk Spreeuwers, Raymond Veldhuis

2007

Abstract

Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment by maximizing the score of a face recognition algorithm. In this paper we investigate the practical usability of our face registration method. Experiments show that our registration method achieves better results in face verification than the landmark based registration method. We even obtain face verification results which are similar to results obtained using landmark based registration with manually located eyes, nose and mouth as landmarks. The performance of the method is tested on the FRGCv1 database using images taken under both controlled and uncontrolled conditions.

References

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Paper Citation


in Harvard Style

Boom B., Spreeuwers L. and Veldhuis R. (2007). Automatic Face Alignment by Maximizing Similarity Score . In Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007) ISBN 978-972-8865-93-1, pages 221-230. DOI: 10.5220/0002427602210230


in Bibtex Style

@conference{pris07,
author={Bas Boom and Luuk Spreeuwers and Raymond Veldhuis},
title={Automatic Face Alignment by Maximizing Similarity Score},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},
year={2007},
pages={221-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002427602210230},
isbn={978-972-8865-93-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)
TI - Automatic Face Alignment by Maximizing Similarity Score
SN - 978-972-8865-93-1
AU - Boom B.
AU - Spreeuwers L.
AU - Veldhuis R.
PY - 2007
SP - 221
EP - 230
DO - 10.5220/0002427602210230