FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection

M. Castrillón-Santana, O. Déniz-Suárez, L. Antón-Canalís, J. Lorenzo-Navarro

2008

Abstract

Fast and reliable face and facial feature detection are required abilities for any Human Computer Interaction approach based on Computer Vision. Since the publication of the Viola-Jones object detection framework and the more recent open source implementation, an increasing number of applications have appeared, particularly in the context of facial processing. In this respect, the OpenCV community shares a collection of public domain classifiers for this scenario. However, as far as we know these classifiers have never been evaluated and/or compared. In this paper we analyze the individual performance of all those public classifiers getting the best performance for each target. These results are valid to define a baseline for future approaches. Additionally we propose a simple hierarchical combination of those classifiers to increase the facial feature detection rate while reducing the face false detection rate.

Paper Citation

in Harvard Style

Castrillón-Santana M., Déniz-Suárez O., Antón-Canalís L. and Lorenzo-Navarro J. (2008). FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 167-172. DOI: 10.5220/0001073101670172

in Bibtex Style

@conference{visapp08,
author={M. Castrillón-Santana and O. Déniz-Suárez and L. Antón-Canalís and J. Lorenzo-Navarro},
title={FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={167-172},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001073101670172},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - FACE AND FACIAL FEATURE DETECTION EVALUATION - Performance Evaluation of Public Domain Haar Detectors for Face and Facial Feature Detection
SN - 978-989-8111-21-0
AU - Castrillón-Santana M.
AU - Déniz-Suárez O.
AU - Antón-Canalís L.
AU - Lorenzo-Navarro J.
PY - 2008
SP - 167
EP - 172
DO - 10.5220/0001073101670172