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Depth-Aware Patch-based Image Disocclusion for Virtual View Synthesis

Pierre Buyssens 1 Maxime Daisy 1 David Tschumperlé 1 Olivier Lézoray 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image et Instrumentation de Caen
Abstract : In this paper we propose a depth-aided patch based inpainting method to perform the disocclusion of holes that appear when synthesizing virtual views from RGB-D scenes. Depth information is added to each key step of the classical patch-based algorithm from [Criminisi et al. 2004] to guide the synthesis of missing structures and textures. These contributions result in a new inpainting method which is efficient compared to state-of-the-art approaches (both in visual quality and computational burden), while requiring only a single easy-to-adjust additional parameter.
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Submitted on : Wednesday, September 30, 2015 - 11:23:21 AM
Last modification on : Tuesday, October 19, 2021 - 11:34:59 PM
Long-term archiving on: : Thursday, December 31, 2015 - 10:15:17 AM


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  • HAL Id : hal-01206537, version 1


Pierre Buyssens, Maxime Daisy, David Tschumperlé, Olivier Lézoray. Depth-Aware Patch-based Image Disocclusion for Virtual View Synthesis. SIGGRAPH Asia, Nov 2015, Kobe, Japan. ⟨hal-01206537⟩



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