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Authors: José Mennesson 1 ; Afifa Dahmane 2 ; Taner Danisman 3 and Ioan Marius Bilasco 1

Affiliations: 1 Univ. Lille and CNRS, France ; 2 USTHB University, Algeria ; 3 Akdeniz University, Turkey

Keyword(s): Head Pose, Yaw Angle Estimation, Frontal Face Detector, 3D Head Rotation, Ellipsoid.

Abstract: Detecting accurately head orientation is an important task in systems relying on face analysis. The estimation of the horizontal rotation of the head (yaw rotation) is a key step in detecting the orientation of the face. The purpose of this paper is to use a well-known frontal face detector in order to estimate head yaw angle. Our approach consists in simulating 3D head rotations and detecting face using a frontal face detector. Indeed, head yaw angle can be estimated by determining the angle at which the 3D head must be rotated to be frontal. This approach is model-free and unsupervised (except the generic learning step of VJ algorithm). The method is experimented and compared with the state-of-the-art approaches using continuous and discrete protocols on two well-known databases : FacePix and Pointing04.

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Paper citation in several formats:
Mennesson, J.; Dahmane, A.; Danisman, T. and Bilasco, I. (2016). Head Yaw Estimation using Frontal Face Detector. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 517-524. DOI: 10.5220/0005711905170524

@conference{visapp16,
author={José Mennesson. and Afifa Dahmane. and Taner Danisman. and Ioan Marius Bilasco.},
title={Head Yaw Estimation using Frontal Face Detector},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={517-524},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005711905170524},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - Head Yaw Estimation using Frontal Face Detector
SN - 978-989-758-175-5
IS - 2184-4321
AU - Mennesson, J.
AU - Dahmane, A.
AU - Danisman, T.
AU - Bilasco, I.
PY - 2016
SP - 517
EP - 524
DO - 10.5220/0005711905170524
PB - SciTePress

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