SF


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Research Interests

I am Assistant Professor, and my research domain is geometry processing, in the context of digitization of 3D objects. The main objective is to make easier the creation and the processing of digitized surfaces and volumes, in order to optimize storage, transmission, handling or vizualisation of such data. Currently, I am working on topics such as
  • Vizualisation of Massive Point Clouds,
  • Progressive Compression of meshes for Geosciences
  • Surface Sampling and Semi-Regular Reconstruction,
  • Semi-Regular Remeshing,
Before I also worked on
  • Multiresolution Modeling of Dynamic Meshes,
  • 3D Animation Compression,
  • Geometry Compression.
All my publications can be found Here.

Progressive Compression of meshes for Geosciences

In collaboration with IFP-Energies Nouvelles (started in 2014), I focus now on the compression of massive structured hexahedral meshes. Such meshes are common in geosciences and, as expected, their size is a drawback for storage, transmission, but also for numerical simulations (flow simulations for instance). Moreover, in this domain, meshes are generally based on a pillar grid structure. This structure has the advantage to give a regular connectivity to hexahedra, while allowing the modeling of geometrical discontinuities that may occur in the meshes coming from geosciences. These discontinuities describes mainly the gaps in the physical terrains.
Therefore we propose a novel compression scheme for such data. Our scheme generates a hierarchy of meshes at increasing levels of resolution, while ensuring a geometrical coherency over the resolutions. Our main contribution is a lossless and reversible wavelet filtering that takes into account the geometrical discontinuities in order to preserve them whatever the resolution, but also manages the categorial properties that are generally associated to the hexahedra in geosciences during analysis.

One Related Publication:

J.-L. Peyrot, L. Duval, S. Schneider, F. Payan, M. Antonini, (H)exaschrink: Multiresolution Compression of Large Structured Hexahedral Meshes with Discontinuities in Geosciences, IEEE International Conference in Image Processing (ICIP), September, 2016.
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Surface Sampling and Semi-Regular Reconstruction

principe_multires.gif During Jean-Luc Peyrot's PhD (2011-2014), we worked on the resampling of surface meshes, and then on the semi-regular reconstruction of surfaces acquired by stereoscopic systems. Our final objective was to develop an acquisition system that provides directly semi-regular output, instead of the classical point clouds ( that must be subsequently cleaned, triangulated, and remeshed, if users want a discretized surface with a semi-regular connectivity).

Our two main contributions have been i) an efficient method of blue noise resampling of surface meshes, and a reconstruction method that directly generates a semi-regular mesh from stereoscopic images.

One Related Publication:

J.-L. Peyrot, F. Payan, M. Antonini, From stereoscopic images to semi-regular meshes, Signal Processing: Image Communication, Volume 40, p. 97-110, doi: 10.1016/j.image.2015.11.004, January, 2016.

Semi-Regular Remeshing

I worked on the semi-regular remeshing of surfaces during a PhD supervision (Aymen Kammoun, 2007-2011) and during a collaboration with Basile Sauvage, (Icube, Strasbourg) and Céline Roudet (Le2i, Dijon).

The semi-regular meshes are based on a regular subdivision connectivity. This subdivision connectivity also allows a compact representation, adapted to multiresolution analysis and wavelet compression. Usually, SR meshes are not provided by current acquisition systems or software. As a consequence, if we want a semi-regular mesh, we have to remesh the data.

One Related Publication:

F. Payan, C. Roudet, B. Sauvage, Semi-regular Triangle Remeshing: a Comprehensive Study, Computer Graphics Forum, Blackwell Publishing, Volume 34, Issue 1, pp.86-102, doi: 10.1111/cgf.12461, February, 2015.
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Multiresolution Modeling of Dynamic Meshes

principe_multires.gif My post-doctorate with Stefanie Hahmann and Georges-Pierre Bonneau at the Laboratoire Jean Kuntzmann (LJK, Grenoble) gave me the opportunity to work on the deforming surfaces (2005-2006).

These time-varying surfaces are generally represented as oversampled triangular meshes with a static connectivity, involving a large number of unnecessary details for some frames. The objective of my work was to propose a simplification method, reducing the number of vertices, while preserving the fine details that appear during the animation.

One Related Publication:

F. Payan, Stefanie Hahmann, Georges-Pierre Bonneau, Deforming surface simplification based on dynamic geometry sampling, In Proceedings of IEEE Shape Modeling International (SMI), Lyon, France, June, 2007.

3D Animation Compression

After my PhD defense, I was a "Teaching Assistant" for one year at the University of Nice Sophia Antipolis (2004-2005). During this year, I worked on the compression of 3D animations, defined by sequences of triangle meshes (with fixed connectivity).

We proposed an algorithm that exploits the temporal coherence of the geometry with temporal wavelet filtering, optimized by a R/D allocation process. The proposed scheme was simple, fast, flexible, and competitive for any kind of animated models, whatever the characteristics (unlike the competing coders).

One Related Publication:

F. Payan, M. Antonini, Temporal Wavelet-based Geometry Coder for 3D Animations, Computer & Graphics, Elsevier, vol. 31(1), Jan. 2007.
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Geometry Compression

principe_multires.gif During my PhD, I focused on geometry compression. I worked particularly on the R/D optimization of a wavelet-based coder for semi-regular meshes.

We finally proposed a fast bit allocation optimizing the quantization of the wavelet coefficients. This allocation improved the visual quality of the reconstructed object according to a user-given bitrate. Experimentally, the proposed coder provided better results than state-of-the-art methods.

One Related Publication:

F. Payan, M. Antonini, Mean Square Error Approximation for Wavelet-based Semiregular Mesh Compression, In IEEE Transactions on Visualization and Computer Graphics (TVCG), July/August 2006.

PhD Supervision

Current

  • Arnaud Bletterer (11/2014 - ...)
    Topic : Surface reconstruction from dense point clouds.
    French Title : reconstruction de surfaces à partir de nuages de points denses
    Co-supervised with Marc Antonini (DR CNRS)
    Funded by Région PACA and Cintoo3D company.

Past

  • Jean-Luc Peyrot (11/2011 - 12/2014)
    Topic : Optimization of the 3D scanning pipeline : from surfaces to semi-regular meshes.
    French Title : Optimisation de la chaîne de numérisation 3D : de la surface au maillage semi-régulier.
    Co-supervised with Marc Antonini (DR CNRS).
    Funded by Région PACA and Noomeo company.
  • Aymen Kammoun (12/2007 - 12/2011)
    Topic : Multiresolution analysis of semi-regular meshes. Application to geometry compression.
    French Title : Contributions dans le domaine de l'analyse multirésolution de maillages surfaciques semi-réguliers. Application à la compression géométrique
    Co-supervised with Marc Antonini (DR CNRS).

Collaborations

Academic

  • Marc Antonini (Research Director CNRS, I3S, Sophia Antipolis),
  • Olivier Aubreton (Assistant Professor, Le2i, Le Creusot),
  • Céline Roudet (Assistant Professor, Le2i, Dijon),
  • Basile Sauvage (Assistant Professor, Icube, Strasbourg).

Industrial

  • IFPEN - Institut Français du Pétrole - Energies nouvelles (depuis 2014)
    I am working with Sébastien Schneider (Research Engineer) and Laurent Duval (Research Engineer) in the context of the Postdoctorate of Jean-Luc Peyrot.
  • Cintoo3D (depuis 2014)
    I am working with Anis Meftah (Research Engineer) and Leonardo Hidd Fonteles (Research Engineer) in the context of the PhD of Arnaud Bletterer.
  • Noomeo (2011-2014)
    I had been working with this company in the context of the PhD of Jean-Luc Peyrot.