Introducing FoxFaces: a 3-in-1 head dataset

Aissaoui, Amel; Dahmane, Afifa; Martinet, Jean; Bilasco, Ioan Marius

Type de document :

Communication dans un congrès avec actes

Titre :

Introducing FoxFaces: a 3-in-1 head dataset

Auteur(s) :

Aissaoui, Amel [Auteur]
FOX MIIRE [LIFL]
Dahmane, Afifa [Auteur]
FOX MIIRE [LIFL]
Laboratoire de Recherche en Intelligence Artificielle [Alger] [LRIA]
Martinet, Jean [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Université de Lille, Sciences et Technologies
FOX MIIRE [LIFL]
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]

Titre de la manifestation scientifique :

International Conference on Computer Vision Theory and Applications (VISAPP)

Ville :

Porto

Pays :

Portugal

Date de début de la manifestation scientifique :

2016-02-27

Mot(s)-clé(s) en anglais :

biometric dataset
face analysis and recognition
expression
pose
multimodal

Discipline(s) HAL :

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

Résumé en anglais : [en]

We introduce a new test collection named FoxFaces, dedicated to researchers in face recognition and analysis. The creation of this dataset was motivated by a lack encountered in the existing 3D/4D datasets. FoxFaces contains ...
Lire la suite >We introduce a new test collection named FoxFaces, dedicated to researchers in face recognition and analysis. The creation of this dataset was motivated by a lack encountered in the existing 3D/4D datasets. FoxFaces contains 3 face datasets obtained with several devices. Faces are captured with different changes in pose, expression and illumination. The presented collection is unique in two aspects: the acquisition is performed using three little constrained devices offering 2D, depth and stereo information on faces. In addition, it contains both still images and videos allowing static and dynamic face analysis. Hence, our dataset can be an interesting resource for the evaluation of 2D, 3D and bimodal algorithms on face recognition under adverse conditions as well as facial expression recognition and pose estimation algorithms in static and dynamic domains (images and videos). Stereo, color, and range images and videos of 64 adult human subjects are acquired. Acquisitions are accompanied with information about the subjects identity, gender, facial expression, approximate pose orientation and the coordinates of some manually located facial fiducial points.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

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Introducing FoxFaces: a 3-in-1 head dataset BibTeX CSV Excel RIS

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Introducing FoxFaces: a 3-in-1 head dataset

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