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Authors: Ayesha Hakim ; Stephen Marsland and Hans W. Guesgen

Affiliation: Massey University, New Zealand

ISBN: 978-989-674-029-0

Keyword(s): Face Detection, Haar-classifier, Skin-colour, Occlusion.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Signal Processing, Sensors, Systems Modeling and Control ; Statistical Approach

Abstract: The progress of computer vision technology has opened new doors for interactive and friendly computer interfaces. Human face detection is an essential step of various human-related computer applications, including face recognition, emotion recognition, lip reading, and several intelligent human computer interfaces. Since it is the basic step in such applications, it must be reliable enough to support further steps. Several approaches to detecting human faces have been proposed so far, but none of them can detect faces in all different conditions such as varying lighting conditions; frontal, profile, tilted and rotated faces; occlusions by glasses, hijab, facial hair; and noise. We propose a more reliable hybrid approach that is able to detect human faces in multiple circumstances. Moreover, a brief, but comprehensive, review of the literature is presented that may be useful to evaluate any face detection system. Our proposed approach gives up to 97% accuracy on 600 images (both simple and complicated), which is the highest accuracy rate reported to date to our knowledge. (More)

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Paper citation in several formats:
Hakim A.; Marsland S.; W. Guesgen H. and (2010). A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 241-244. DOI: 10.5220/0002817402410244

@conference{visapp10,
author={Ayesha Hakim and Stephen Marsland and Hans {W. Guesgen}},
title={A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={241-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002817402410244},
isbn={978-989-674-029-0},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - A RELIABLE HYBRID TECHNIQUE FOR HUMAN FACE DETECTION
SN - 978-989-674-029-0
AU - Hakim, A.
AU - Marsland, S.
AU - W. Guesgen, H.
PY - 2010
SP - 241
EP - 244
DO - 10.5220/0002817402410244

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