Towards Spatio-Temporal Face Alignment in ...
Document type :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès avec actes
Title :
Towards Spatio-Temporal Face Alignment in Unconstrained Conditions
Author(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
Conference title :
VISAPP
City :
Funchal
Country :
Portugal
Start date of the conference :
2018-01-27
English keyword(s) :
Face Alignment
Spatio-Temporal Models
Landmark Localization
Unconstrained Conditions
Video-based
Spatio-Temporal Models
Landmark Localization
Unconstrained Conditions
Video-based
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :
Files
- https://hal.archives-ouvertes.fr/hal-01644813/document
- Open access
- Access the document
- https://hal.archives-ouvertes.fr/hal-01644813/document
- Open access
- Access the document
- https://hal.archives-ouvertes.fr/hal-01644813/document
- Open access
- Access the document
- document
- Open access
- Access the document
- Towards%20Spatio-Temporal%20Face%20Alignment%20in%20Unconstrained%20Conditions.pdf
- Open access
- Access the document