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Depth-based image completion for view synthesis

Josselin Gautier 1 Olivier Le Meur 1 Christine Guillemot 1 
1 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper describes a depth-based inpainting algorithm which efficiently handles disocclusion occurring on virtual viewpoint rendering. A single reference view and a set of depth maps are used in the proposed approach. The method not only deals with small disocclusion filling related to small camera baseline, but also manages to fill in larger disocclusions in distant synthesized views. This relies on a coherent tensor-based color and geometry structure propagation. The depth is used to drive the filling order, while enforcing the structure diffusion from similar candidate-patches. By acting on patch prioritization, selection and combination, the completion of distant synthesized views allows a consistent and realistic rendering of virtual viewpoints.
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Submitted on : Friday, September 30, 2011 - 1:41:21 PM
Last modification on : Friday, February 4, 2022 - 3:24:37 AM
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Josselin Gautier, Olivier Le Meur, Christine Guillemot. Depth-based image completion for view synthesis. 3DTV Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON), May 2011, Antalya, Turkey. ⟨10.1109/3DTV.2011.5877193⟩. ⟨inria-00628084⟩



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