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Dynamic super resolution of depth sequences with non-rigid motions
Advanced Engineering - IEE S.A., Luxembourg .ORCID iD: 0000-0003-2298-6774
2013 (English)In: 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, IEEE Signal Processing Society, 2013, 660-664 p.Conference paper (Refereed)
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. The proposed approach is based on a new data model that leads to a robust registration of all depth frames after a dense upsampling. The textureless nature of depth images allows to robustly handle sequences with multiple moving objects as confirmed by our experiments.

Place, publisher, year, edition, pages
IEEE Signal Processing Society, 2013. 660-664 p.
Keyword [en]
Depth sequence, dynamic super-resolution, motion estimation, moving object, ToF data, upsampling
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-138991DOI: 10.1109/ICIP.2013.6738136ScopusID: 2-s2.0-84897678068ISBN: 978-147992341-0OAI: diva2:682145
2013 20th IEEE International Conference on Image Processing, ICIP 2013; Melbourne, VIC; Australia; 15 September 2013 through 18 September 2013

QC 20140603

Available from: 2013-12-23 Created: 2013-12-23 Last updated: 2014-06-03Bibliographically approved

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Ottersten, Björn
Signal Processing

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