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Surface UP-SR for an improved face recognition using low resolution depth cameras
(Signal Processing)ORCID iD: 0000-0003-2298-6774
2014 (English)In: 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), IEEE conference proceedings, 2014, 107-112 p.Conference paper, (Refereed)
Abstract [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.1.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 107-112 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-163752DOI: 10.1109/AVSS.2014.6918652Scopus ID: 2-s2.0-84909957704OAI: oai:DiVA.org:kth-163752DiVA: diva2:1082111
Conference
AVSS
Note

QC 20170322

Available from: 2017-03-15 Created: 2017-03-15 Last updated: 2017-03-22Bibliographically approved

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Ottersten, Björn
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CiteExportLink to record
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