Can 3D Shape of the Face Reveal your Age?

Type de document :

Communication dans un congrès avec actes

Titre :

Can 3D Shape of the Face Reveal your Age?

Auteur(s) :

Xia, Baiqiang [Auteur]
FOX MIIRE [LIFL]
Ben Amor, Boulbaba [Auteur]
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]

FOX MIIRE [LIFL]
Drira, Hassen [Auteur]

FOX MIIRE [LIFL]

Titre de la manifestation scientifique :

International Conference on Computer Vision Theory and Applications

Ville :

Lisbonne

Pays :

Portugal

Date de début de la manifestation scientifique :

2014-01-05

Date de publication :

2014-01-05

Discipline(s) HAL :

Sciences de l'Homme et Société/Sciences de l'information et de la communication

Résumé en anglais : [en]

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, ...
Lire la suite >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.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

Fichiers

https://hal.inria.fr/hal-00904007/document
Accès libre
Accéder au document

https://hal.inria.fr/hal-00904007/document
Accès libre
Accéder au document

document
Accès libre
Accéder au document

VISAPP_2014_24_CR.pdf
Accès libre
Accéder au document