Head Yaw Estimation using Frontal Face Detector

José Mennesson, Afifa Dahmane, Taner Danisman, Ioan Marius Bilasco

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 Harvard Style

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 - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 517-524. DOI: 10.5220/0005711905170524


in Bibtex Style

@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 - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={517-524},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005711905170524},
isbn={978-989-758-175-5},
}


in EndNote Style

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