Automatic Detection of Facial Midline as a Guide for Facial Feature Extraction

Nozomi Nakao, Wataru Ohyama, Tetsushi Wakabayashi, Fumitaka Kimura

2007

Abstract

We propose a novel approach for the detection of the facial midline from a frontal face image. The use of a midline as a guide reduces the computation time required for facial feature extraction (FFE) because midline is able to restrict multi-dimensional searching process into one-dimensional search. The proposed method detects facial midline from the edge image as the symmetry axis using a new application of the generalized Hough transformation to detect the symmetry axis. Experimental results on the FERET database indicate that the proposed algorithm can accurately detect facial midline over many different scales and rotation. The total computational time for facial feature extraction has been reduced by a factor of 280 using midline detected by this method.

References

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Paper Citation


in Harvard Style

Nakao N., Ohyama W., Wakabayashi T. and Kimura F. (2007). Automatic Detection of Facial Midline as a Guide for Facial Feature Extraction . 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 119-128. DOI: 10.5220/0002426701190128


in Bibtex Style

@conference{pris07,
author={Nozomi Nakao and Wataru Ohyama and Tetsushi Wakabayashi and Fumitaka Kimura},
title={Automatic Detection of Facial Midline as a Guide for Facial Feature Extraction},
booktitle={Proceedings of the 7th International Workshop on Pattern Recognition in Information Systems - Volume 1: PRIS, (ICEIS 2007)},
year={2007},
pages={119-128},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002426701190128},
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 Detection of Facial Midline as a Guide for Facial Feature Extraction
SN - 978-972-8865-93-1
AU - Nakao N.
AU - Ohyama W.
AU - Wakabayashi T.
AU - Kimura F.
PY - 2007
SP - 119
EP - 128
DO - 10.5220/0002426701190128