Impact of the face registration techniques on facial expressions recognition

Allaert, B.; Mennesson, José; Bilasco, Ioan Marius; Djeraba, Chaabane

Type de document :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1016/j.image.2017.11.002

Titre :

Impact of the face registration techniques on facial expressions recognition

Auteur(s) :

Allaert, B. [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Mennesson, José [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bilasco, Ioan Marius [Auteur]

Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Djeraba, Chaabane [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la revue :

Signal Processing: Image Communication

Pagination :

44-53

Éditeur :

Elsevier

Date de publication :

2018

ISSN :

0923-5965

Mot(s)-clé(s) en anglais :

Large displacements
Facial expressions
Head pose variations

Discipline(s) HAL :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

Résumé en anglais : [en]

Recent methodologies for facial expression recognition have been proposed and have obtained good results in near-frontal view. However, these situations do not fairly represent in-the-wild challenges, where expressions are ...
Lire la suite >Recent methodologies for facial expression recognition have been proposed and have obtained good results in near-frontal view. However, these situations do not fairly represent in-the-wild challenges, where expressions are natural and the subject is free of its movement. This is reflected in the accuracy drop of facial expression methods obtained on recent databases. Two challenges (head pose variations and large displacements) in facial expression recognition are studied in this paper. Experiments are proposed in order to quantify the impact of free head movements using representative expression recognition approaches (LBP, LBP-TOP, HOOF). We propose an experimental protocol (SNaP-2DFe) that records, under controlled light, facial expressions with two cameras: one attached on the head and one placed in front of the subject. As in both cameras facial expressions are the same, differences in performances measured on each camera show the impact of head pose variations and large displacements on the underlying recognition approach.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :