Computational Imaging with Novel Image Modalities
(Light fields, Omni-directional Images, Digital Holograms).

May 27-28 2019


The ERC CLIM project organized a workshop on computational imaging with new imaging modalities such as light fields, omni-directional video and digital holography, on May 27-28, 2019. The workshop gathered researchers from both academia and industry to exchange ideas and present their latest developments in the field. The two days have been organized around a mix of keynotes given by senior researchers and presentations (30 min.) made by PhD students and postdocs.

The complete workshop program can be found here. The abstracts of the keynote presentations can be found here. The abstracts of the technical presentations can be found here.


27th May, keynotes

  • Light Field Imaging: Modelling, Parameterization and Sparsification, Prof. Atanas Gotchev, Tampere Technical Univ., Finland. [slides], [video].
  • Non-Lambertian Light Field Analysis, Prof. Bastian Goldluecke, Konstanz Univ., Germany.
  • Recent design in light-field cameras, and related image processing, Dr. Benoit Vandame, Technicolor, France.[video].
  • 27th May, Technical Presentations

  • Retinal light-field 3D display, Alexander Kvasov, Creal3D [slides],[video].
  • Extended depth of field and broadband imaging with diffractive optical elements, Erdem Sahin, Tampere Technical Univ., Finland. [slides]], [video].
  • Development of the K|Lens: from research to market, Matthias Schmitz, K-Lens, Saarbrücken, Germany. [slides], [video].
  • Multi-camera imaging with applications, Prof. Jonas Unger, Linkoping Univ. [video].
  • Computer-generated hologram synthesis using geometrical models and multiperspective images, Jani Mäkkinen Tampere University. [video].
  • Sparse representations for compression and compressed sensing of visual data, Ehsan Miandji, Linkoping Univ. [slides].[video].
  • Intrinsic light field decomposition, Anna Alperovich, Konstanz Univ., Germany. [slides].
  • A pipeline for lenslet light field quality enhancement, Martin Alain and Mikael Le Pendu, Trinity College Dublin, Ireland. [slides], [video].
  • 27th May, Pitch session for demos and posters

  • High Dynamic Range Light Fields via Weighted Low Rank Approximation, Mikael Le Pendu, Trinity College Dublin
  • A Learning based depth estimation framework for 4D densely and sparsely sampled light field, Xiaoran Jiang, Inria, Rennes, France.
  • Graph-based compression of light fields, Mira Rizkallah, Inria, Rennes, France.
  • Video light fields datasets and corresponding depth maps, Laurent Guillo, IRISA/CNRS, Rennes, France. [poster].
  • Multiview 360° video adatasets, Thomas Maugey, Inria, Rennes, France.
  • 28th May, keynotes

  • Immersive activities in MPEG-I: current status and upcoming challenges, Joêl Jung, Orang Lab. [slides], [video].
  • Point Cloud Compression in MPEG and beyond, Sébastien LASSERRE, BlackBerry, [slides], [video].
  • JPEG Pleno, a framework to represent plenoptic imaging modalities, Peter Schelkens, Vrije Universitat Brussels, Belgium. [slides], [video].
  • 28th May, Technical Presentations

  • Real-time View Synthesis for Virtual Reality and Light Field displays, Gauthier Lafruit, Univ. Libre de Bruxelles (ULB), Brussels, Belgium. [slides], [video].
  • A Lightweight Neural Network for Monocular View Generation with Occlusion Handling, Simon Evain, Inria, France. [slides], [video]
  • Signal processing challenges for digital holographic video display systems, Colas Schretter, Vrije Universitat Brussels, Belgium. [video]
  • Scalable compression of digital holograms, Patrick Gioia, Orange lab. / IRT-BCOM, Rennes, France. [video]
  • Light field denoising and super-resolution using the LFBM5D filter, Martin Alain, Trinity College Dublin, Ireland. [slides],[video].
  • Light field denoising with 4D anisotropic diffusion, Pierre Allain, Inria, Rennes, France. [slides].
  • Realistic 3D Smorgasbord: Light Field Data Compression Methods and Quality of Experience for Augmented Telepresence, M. Sjostrom, MidSeden Univ., Sundsvall, Sweden. [slides], [video].