Fields of experts for image-based rendering

Conference item

Image priors for novel view synthesis have traditionally been non-parametric models based on large libraries of image patch exemplars, producing high-quality results but making inference very slow. Recently a parametric framework, called Fields of Experts, has been proposed for image restoration that promises to speed up inference dramatically. In this paper we apply Fields of Experts for the first time to the problem of novel view synthesis, posed as a Markov random field labelling problem with very large cliques. Additionally, we introduce to computer vision for the first time a new optimization algorithm from statistical physics which reaches better minima than the ICM and simulated annealing algorithms to which such large-clique problems have previously been restricted.

Authors: Woodford, OJ; Reid, ID; Fitzgibbon, AW; Torr, PHS

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: British Machine Vision Association
• Host title: Proceedings of the British Machine Vision Conference 2006
• Pages: 113.1-113.10
• Publication date: 2006-01-01
• Event title: British Machine Vision Conference 2006 (BMVC 2006)
• Event location: Edinburgh
• Event website: https://bmva-archive.org.uk/bmvc/2006/
• Event start date: 2006-09-04
• Event end date: 2006-09-07
• Language: English
• Keywords: SBTMR