Title: Temporal filtering of depth Images using optical flow
Authors: Avetisyan, Razmik
Rosenke, Christian
Luboschik, Martin
Staadt, Oliver
Citation: WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 271-275.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
conferenceObject
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
http://hdl.handle.net/11025/29713
ISBN: 978-80-86943-58-9
ISSN: 2464-4617
Keywords: časové filtrování;optický tok;vylepšení hloubky obrazu;RGB-D senzor
Keywords in different language: temporal filtering;optical flow;depth image enhancement;RGB-D sensor
Abstract: We present a novel depth image enhancement approach for RGB-D cameras such as the Kinect. Our approach employs optical flow of color images for refining the quality of corresponding depth images. We track every depth pixel over a sequence of frames in the temporal domain and use valid depth values of the same point for recovering missing and inaccurate information. We conduct experiments on different test datasets and present visually appealing results. Our method significantly reduces the temporal noise level and the flickering artifacts.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2016: Short Papers Proceedings

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