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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 Before I also worked on All my publications can be found Here.

Reconstruction of Complex Scenes Captured by Terrestrial LiDARs

In the context of the PhD of Arnaud Bletterer (2014-2018), and in collaboration with Cintoo3D, I work on the reconstruction of complex scenes captured by terrestrial LiDARs. Nowadays, LiDARs are able to generate tens of millions of points from a single acquisition. The main benefit of this considerable change lies in their capacity to capture extremely detailed surfaces. But this comes with a severe complexity in time and in memory, making the reconstruction very challenging, even sometimes impossible, with usual surface reconstruction approaches.
The goal of our current work is to develop an algorithm that generates mesh surfaces from terrestrial LiDAR acquisitions, while preserving the topology of the captured reality.
We already showed nice results from a single 360$^{\circ}$ terrestrial LiDAR acquisition of more than tens of millions of points.

One Related Publication:

A. Bletterer, F. Payan, M. Antonini, A. Meftah, De la carte de profondeur au maillage surfacique : reconstruction de scènes 3D complexes, XXVIeme Colloque GRETSI, September, 2017.

Progressive Compression of meshes for Geosciences

I have been collaborating with IFP Energies Nouvelles since 2014. We focus 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 proposed 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.

Surface Sampling and Semi-Regular Reconstruction

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 Aymen Kammoun's PhD (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.

Multiresolution Modeling of Dynamic Meshes

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.

Geometry Compression

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


  • Lauriane Bouard (11/2017 - ...)
    Topic : Progressive compression of large evolutionary volumic meshes: geometry and properties
    French Title : Compression progressive de maillages volumiques massifs et évolutifs : géométrie et propriétés
    Co-supervised with Marc Antonini (DR CNRS) and Laurent Duval (IFP-Energies Nouvelles)
    Funded by IFP-Energies Nouvelles
  • Arnaud Bletterer (11/2014 - 2018)
    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.


  • 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
    Manuscript (in french) : HAL
    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).




  • IFP-Energies Nouvelles, during the Postdoctoral research of Jean-Luc Peyrot (2015-2016), and now for the PhD of Lauriane Bouard (2017 - ...).
  • Cintoo3D (from 2014)
    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.