Hosseini Kamal, MahdadFavaro, PaoloVandergheynst, Pierre2014-10-112014-10-112014-10-112014https://infoscience.epfl.ch/handle/20.500.14299/107368We present a novel approach to the reconstruction of depth from light field data. Our method uses dictionary representations and group sparsity constraints to derive a convex formulation. Although our solution results in an increase of the problem dimensionality, we keep numerical complexity at bay by restricting the space of solutions and by exploiting an efficient Primal-Dual formulation. Comparisons with state of the art techniques, on both synthetic and real data, show promising performances.Light fieldsmulti-view stereoprimal-dual formulationtext::conference output::conference paper not in proceedings