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Authors: R. Wood and J. I. Olszewska

Affiliation: University of Huddersfield, United Kingdom

Keyword(s): Face detection, AdaBoost, Global intensity average value, Illumination variation, Lighting measure.

Abstract: In order to detect faces in pictures presenting difficult real-world conditions such as dark background or backlighting, we propose a new method which is robust to varying illuminations and which automatically adapts itself to these lighting changes. The proposed face detection technique is based on an efficient AdaBoost super-classifier and relies on multiple features, namely, the global intensity average value and the local intensity variations. Based on tests carried out on standards datasets, our system successfully performs in indoor as well as outdoor situations with different lighting levels.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wood, R. and I. Olszewska, J. (2012). LIGHTING-VARIABLE ADABOOST BASED-ON SYSTEM FOR ROBUST FACE DETECTION. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - MPBS; ISBN 978-989-8425-89-8; ISSN 2184-4305, SciTePress, pages 494-497. DOI: 10.5220/0003888304940497

@conference{mpbs12,
author={R. Wood. and J. {I. Olszewska}.},
title={LIGHTING-VARIABLE ADABOOST BASED-ON SYSTEM FOR ROBUST FACE DETECTION},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - MPBS},
year={2012},
pages={494-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003888304940497},
isbn={978-989-8425-89-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2012) - MPBS
TI - LIGHTING-VARIABLE ADABOOST BASED-ON SYSTEM FOR ROBUST FACE DETECTION
SN - 978-989-8425-89-8
IS - 2184-4305
AU - Wood, R.
AU - I. Olszewska, J.
PY - 2012
SP - 494
EP - 497
DO - 10.5220/0003888304940497
PB - SciTePress