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dc.contributor.authorBugeau, Aurélieen_US
dc.contributor.authorGargallo, Paulen_US
dc.contributor.authorD'Hondt, Olivieren_US
dc.contributor.authorHervieu, Alexandreen_US
dc.contributor.authorPapadakis, Nicolasen_US
dc.contributor.authorCaselles, Vicenten_US
dc.contributor.editorReinhard Koch and Andreas Kolb and Christof Rezk-Salamaen_US
dc.description.abstractVideo inpainting consists in recovering the missing or corrupted parts of an image sequence so that the reconstructed sequence looks natural. For each frame, the reconstruction has to be spatially coherent with the rest of the image and temporally with respect to the reconstructions of adjacent frames. Most of existing methods only focus on inpainting foreground objects moving with a periodic motion and consider that the background is almost static. In this paper we address the problem of background inpainting and propose a method that handles dynamic background (illumination changes, moving camera, dynamic textures...). The algorithm starts by applying an image inpainting technique to each frame of the sequence and then temporally smoothes these reconstructions through Kalman smoothing along the estimated trajectories of the unknown points. The computation of the trajectories relies on the estimation of forward and backward dense optical flow fields. Several experiments and comparisons demonstrate the performance of the proposed approach.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.3 [Image Processing and Computer Vision]: Enhancement -Smoothing I.4.4 [Image Processing and Computer Vision]: Restoration-Kalman filteringen_US
dc.titleCoherent Background Video Inpainting through Kalman Smoothing along Trajectoriesen_US
dc.description.seriesinformationVision, Modeling, and Visualization (2010)en_US

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  • VMV10
    ISBN 978-3-905673-79-1

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