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Authors: Baiqiang Xia 1 ; Boulbaba Ben Amor 2 ; Mohamed Daoudi 2 and Hassen Drira 2

Affiliations: 1 University Lille1 and LIFL, France ; 2 Institut Mines-Telecom/Telecom Lille and LIFL, France

ISBN: 978-989-758-004-8

Keyword(s): Age Estimation, 3D Face, Dense Scalar Field, Random Forest Regression.

Abstract: Age reflects the continuous accumulation of durable effects from the past since birth. Human faces deform with time non-inversely and thus contains their aging information. In addition to its richness with anatomy information, 3D shape of faces could have the advantage of less dependent on pose and independent of illumination, while it hasn’t been noticed in literature. Thus, in this work we investigate the age estimation problem from 3D shape of the face. With several descriptions grounding on Riemannian shape analysis of facial curves, we first extracted features from ideas of face Averageness, face Symmetry, its shape variations with Spatial and Gradient descriptors. Then, using the Random Forest-based Regression, experiments are carried out following the Leaving-One-Person-Out (LOPO) protocol on the FRGCv2 dataset. The proposed approach performs with a Mean Absolute Error (MAE) of 3:29 years using a gender-general test protocol. Finally, with the gender-specific experiments, which first separate the 3D scans into Female and Male subsets, then train and test on each gender specific subset in LOPO fashion, we improves the MAE to 3:15 years, which confirms the idea that the aging effect differs with gender. (More)

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Paper citation in several formats:
Xia B., Ben Amor B., Daoudi M. and Drira H. (2014). Can 3D Shape of the Face Reveal your Age?.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 5-13. DOI: 10.5220/0004652300050013

@conference{visapp14,
author={Baiqiang Xia and Boulbaba Ben Amor and Mohamed Daoudi and Hassen Drira},
title={Can 3D Shape of the Face Reveal your Age?},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={5-13},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004652300050013},
isbn={978-989-758-004-8},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Can 3D Shape of the Face Reveal your Age?
SN - 978-989-758-004-8
AU - Xia B.
AU - Ben Amor B.
AU - Daoudi M.
AU - Drira H.
PY - 2014
SP - 5
EP - 13
DO - 10.5220/0004652300050013

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