Ottersten, Björn[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