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Authors: Louis Chevallier 1 ; Jean-Ronan Vigouroux 1 ; Alix Goguey 2 and Alexey Ozerov 1

Affiliations: 1 Technicolor, France ; 2 Technicolor and Ensimag, France

Keyword(s): Face Landmarks Localization, Boosted Regression.

Abstract: Accurate detection of facial landmarks is very important for many applications like face recognition or analysis. In this paper we describe an efficient detector of facial landmarks based on a cascade of boosted regressors of arbitrary number of levels. We define as many regressors as landmarks and we train them separately. We describe how the training is conducted for the series of regressors by supplying training samples centered on the predictions of the previous levels. We employ gradient boosted regression and evaluate three different kinds of weak elementary regressors, each one based on Haar features: non parametric regressors, simple linear regressors and gradient boosted trees. We discuss trade-offs between the number of levels and the number of weak regressors for optimal detection speed. Experiments performed on three datasets suggest that our approach is competitive compared to state-of-the art systems regarding precision, speed as well as stability of the prediction on v ideo streams. (More)

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Paper citation in several formats:
Chevallier, L.; Vigouroux, J.; Goguey, A. and Ozerov, A. (2013). Facial Landmarks Localization Estimation by Cascaded Boosted Regression. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 513-519. DOI: 10.5220/0004192705130519

@conference{visapp13,
author={Louis Chevallier. and Jean{-}Ronan Vigouroux. and Alix Goguey. and Alexey Ozerov.},
title={Facial Landmarks Localization Estimation by Cascaded Boosted Regression},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={513-519},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004192705130519},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Facial Landmarks Localization Estimation by Cascaded Boosted Regression
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Chevallier, L.
AU - Vigouroux, J.
AU - Goguey, A.
AU - Ozerov, A.
PY - 2013
SP - 513
EP - 519
DO - 10.5220/0004192705130519
PB - SciTePress

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