[en] We address the limitation of low resolution depth cameras in the context of face recognition. Considering a face as a surface in 3-D, we reformulate the recently proposed Upsampling for Precise Super–Resolution algorithm as a new approach on three dimensional points. This reformulation allows an efficient implementation, and leads to a largely enhanced 3-D face reconstruction. Moreover, combined with a dedicated face detection and representation pipeline, the proposed method provides an improved face recognition system using low resolution depth cameras.
We show experimentally that this system increases the face recognition rate as compared to directly using the low resolution raw data.
Centre de recherche :
Interdisciplinary Centre for Security, Reliability and Trust
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
AOUADA, Djamila ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
AL ISMAEIL, Kassem ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Kedir Idris, Kedija
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Surface UP-SR for an Improved Face Recognition Using Low Resolution Depth Cameras
Date de publication/diffusion :
2014
Nom de la manifestation :
11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
Date de la manifestation :
26-08-2014 to 29-08-2014
Manifestation à portée :
International
Titre de l'ouvrage principal :
11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'14)
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