title: Depth-Guided Disocclusion Inpainting of Synthesized RGB-D Images.
abstract: We propose to tackle the problem of RGB-D image disocclusion inpainting when synthesizing new views of a scene by changing its viewpoint. Indeed, such a process creates holes both in depth and color images. First, we propose a novel algorithm to perform depth-map disocclusion inpainting. Our intuitive approach works particularly well for recovering the lost structures of the objects and to inpaint the depth-map in a geometrically plausible manner. Then, we propose a depth-guided patch-based inpainting method to fill-in the color image. Depth information coming from the reconstructed depth-map is added to each key step of the classical patch-based algorithm from Criminisi et al. in an intuitive manner. Relevant comparisons to the state-of-the-art inpainting methods for the disocclusion inpainting of both depth and color images are provided and illustrate the effectiveness of our proposed algorithms.
authors: Pierre
authors: P
authors: Buyssens
authors: Olivier Le
authors: OL
authors: Meur
authors: Maxime
authors: M
authors: Daisy
authors: David
authors: D
authors: Tschumperle
authors: Olivier
authors: O
authors: Lezoray