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

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.

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement des images [eess.IV]; Traitement du signal et de l'image [eess.SP]

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⟩