Title: Faking it: simulating background blur in portrait photography using a coarse depth map estimation from a single image
Authors: Friedrich, Nadine
Lobachev, Oleg
Guthe, Michael
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. 17-23.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
ISBN: 978-80-86943-58-9
ISSN: 2464-4617
Keywords: bokeh;rozostření pozadí;hloubková mapa;segmentace popředí a pozadí
Keywords in different language: bokeh;background blur;depth map;foreground–background segmentation
Abstract: In this work we simulate background blur in photographs through a coarse estimation of a depth map. As our input is a single portrait picture, we constraint our objects to humans first and utilise skin detection. A further extension alleviates this. With auxiliary user input we further refine our depth map estimate to a full-fledged foreground–background segmentation. This enables the computation of the actual blurred image at the very end of our pipeline.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2016: Short Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29683

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