Plane-Based Multi-View Inpainting for Image-Based Rendering in Large Scenes
- Creators
- Philip, Julien
- Drettakis, George
- Others:
- GRAPHics and DEsign with hEterogeneous COntent (GRAPHDECO) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- ANR-13-CORD-0003,SEMAPOLIS,Analyse sémantique visuelle et reconstruction 3D sémantisée d'environnements urbains(2013)
- European Project: 727188,H2020 Pilier Societal Challenges,H2020-SC6-CULT-COOP-2016,EMOTIVE(2016)
Description
Image-Based Rendering (IBR) allows high-fidelity free-viewpoint navigation using only a set of photographs and 3D reconstruction as input. It is often necessary or convenient to remove objects from the captured scenes, allowing a form of scene editing for IBR. This requires multi-view inpainting of the input images. Previous methods suffer from several major limitations: they lack true multi-view coherence, resulting in artifacts such as blur, they do not preserve perspective during inpainting, provide inaccurate depth completion and can only handle scenes with a few tens of images. Our approach addresses these limitations by introducing a new multi-view method that performs inpainting in intermediate, locally common planes. Use of these planes results in correct perspective and multi-view coherence of inpainting results. For efficient treatment of large scenes, we present a fast planar region extraction method operating on small image clusters. We adapt the resolution of inpainting to that required in each input image of the multi-view dataset, and carefully handle image resampling between the input images and rectified planes. We show results on large indoors and outdoors environments.
Abstract
International audience
Additional details
- URL
- https://hal.inria.fr/hal-01745568
- URN
- urn:oai:HAL:hal-01745568v1
- Origin repository
- UNICA