Section: Partnerships and Cooperations

European Initiatives

FP7 & H2020 Projects

ERC-CLIM

Participants : Pierre Allain, Pierre David, Elian Dib, Simon Evain, Christian Galea, Christine Guillemot, Laurent Guillo, Xiaoran Jiang, Jinglei Shi.

• Title : Computational Light field Imaging.

• Research axis : 7.1.2, 7.1.3, 7.2.1, 7.2.3, 7.2.4, 7.3.1, 7.3.2, 7.3.3

• Partners : Inria-Rennes

• Funding : European Research Council (ERC) advanced grant

• Period : Sept. 2016 - Aug. 2021.

Light fields yield a rich description of the scene ideally suited for advanced image creation capabilities from a single capture, such as simulating a capture with a different focus and a different depth of field, simulating lenses with different apertures, for creating images with different artistic intents or for producing 3D views. Light fields technology holds great promises for a number of application sectors, such as photography, augmented reality, light field microscopy, but also surveillance, to name only a few.

The goal of the ERC-CLIM project is to develop algorithms for the entire static and video light fields processing chain, going from compact sparse and low-rank representations and compression to restoration, high quality rendering and editing.