Towards Spatio-Temporal Face Alignment in ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Titre :
Towards Spatio-Temporal Face Alignment in Unconstrained Conditions
Auteur(s) :
Belmonte, Romain [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ihaddadene, Nacim [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Tirilly, Pierre [Auteur]
FOX MIIRE [LIFL]
Djeraba, Chaabane [Auteur]
FOX MIIRE [LIFL]
Bilasco, Ioan Marius [Auteur]
Université de Lille, Sciences et Technologies
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Ihaddadene, Nacim [Auteur]
Institut Supérieur de l'Electronique et du Numérique - Lille [ISEN-Lille]
Tirilly, Pierre [Auteur]
FOX MIIRE [LIFL]
Djeraba, Chaabane [Auteur]
FOX MIIRE [LIFL]
Bilasco, Ioan Marius [Auteur]
Université de Lille, Sciences et Technologies
Titre de la manifestation scientifique :
VISAPP
Ville :
Funchal
Pays :
Portugal
Date de début de la manifestation scientifique :
2018-01-27
Mot(s)-clé(s) en anglais :
Face Alignment
Spatio-Temporal Models
Landmark Localization
Unconstrained Conditions
Video-based
Spatio-Temporal Models
Landmark Localization
Unconstrained Conditions
Video-based
Discipline(s) HAL :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Résumé en anglais : [en]
Face alignment is an essential task for many applications. Its objective is to locate feature points on the face, in order to identify its geometric structure. Under unconstrained conditions, the different variations that ...
Lire la suite >Face alignment is an essential task for many applications. Its objective is to locate feature points on the face, in order to identify its geometric structure. Under unconstrained conditions, the different variations that may occur in the visual context, together with the instability of face detection, make it a difficult problem to solve. While many methods have been proposed, their performances under these constraints are still not satisfactory. In this article, we claim that face alignment should be studied using image sequences rather than still images, as it has been done so far. We show the importance of taking into consideration the temporal information under unconstrained conditions.Lire moins >
Lire la suite >Face alignment is an essential task for many applications. Its objective is to locate feature points on the face, in order to identify its geometric structure. Under unconstrained conditions, the different variations that may occur in the visual context, together with the instability of face detection, make it a difficult problem to solve. While many methods have been proposed, their performances under these constraints are still not satisfactory. In this article, we claim that face alignment should be studied using image sequences rather than still images, as it has been done so far. We show the importance of taking into consideration the temporal information under unconstrained conditions.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :
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