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Dynamic Super Resolution of Depth Sequences with Non-Rigid Motions
Al Ismaeil, Kassem; Aouada, Djamila; Mirbach, Bruno et al.
2013In 20th International Conference on Image Processing
Peer reviewed
 

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Abstract :
[en] We enhance the resolution of depth videos acquired with low resolution time-of-flight cameras. To that end, we propose a new dedicated dynamic super-resolution that is capable to accurately super-resolve a depth sequence containing one or multiple moving objects without strong constraints on their shape or motion, thus clearly outperforming any existing super-resolution techniques that perform poorly on depth data and are either restricted to global motions or not precise because of an implicit estimation of motion. Our proposed approach is based on a new data model that leads to a robust registration of all depth frames after a dense upsampling. The texture-less nature of depth images allows to robustly handle sequences with multiple moving objects as confirmed by our experiments.
Research center :
SnT
Disciplines :
Electrical & electronics engineering
Author, co-author :
Al Ismaeil, Kassem ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Aouada, Djamila  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Mirbach, Bruno
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Language :
English
Title :
Dynamic Super Resolution of Depth Sequences with Non-Rigid Motions
Publication date :
September 2013
Event name :
20th International Conference on Image Processing
Event date :
15 Sep - 18 Sep 2013
Audience :
International
Main work title :
20th International Conference on Image Processing
Peer reviewed :
Peer reviewed
Name of the research project :
R-AGR-0686-1 > C11/IS/1204105 : FAVE > 01/01/2012 - 31/12/2014 > OTTERSTEN Björn
Funders :
FNR - Fonds National de la Recherche [LU]
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since 12 November 2013

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