Reference : Surface UP-SR for an Improved Face Recognition Using Low Resolution Depth Cameras
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/17040
Surface UP-SR for an Improved Face Recognition Using Low Resolution Depth Cameras
English
Aouada, Djamila mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Al Ismaeil, Kassem mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Kedir Idris, Kedija mailto []
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2014
11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS'14)
Yes
International
11th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS)
26-08-2014 to 29-08-2014
[en] Face recognition ; Super resolution ; Depth data
[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.
Interdisciplinary Centre for Security, Reliability and Trust
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/17040

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
SurfUPSR_AVSS14.pdfAuthor postprint2.59 MBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.