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Pierre Mézières
Post-doctoral fellow at INRIA, Bordeaux, in the MANAO team.
Actual research interest :
My current research focuses on the acquisition and representation of complex objects.
This involves designing and developing physically-based processing pipelines to accurately
capture the appearance of intricate surfaces and materials. I am particularly interested in
high-fidelity digital reproduction for real-time rendering applications, such as visualization,
inspection, and diagnostics. A key aspect of this work is ensuring traceable, metrologically-sound data processing.
Given the large volumes of data generated, I also explore implicit representations (notably with machine learning)
to achieve compact, physically consistent, and metrologically reliable data compression.
Keywords : material acquisition, rendering, efficiency, spherical harmonics
CV (french)
Email: pierre.mezieres1@gmail.com
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Rogue
(Render Object Graphic Useless Engine)
This 3D engine is oriented for fast real-time rendering prototyping. All the work published during my PhD thesis was implemented in Rogue. The last public version made was released before I started my thesis.
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2023 - now
Postdoctoral researcher
- Postdoctoral position at
INRIA Bordeaux
(team MANAO) with
Romain Pacanowski.
Work package 1 — Acquisition & appearance reconstruction (La Coupole) - since 2023
- Work on
La Coupole:
reconstruction of SV-BRDF ( Spatially Varying Bidirectional Reflectance Distribution Function)
from many photos (several terabytes) to reproduce the appearance of complex materials.
- Focus on efficient processing, calibration-aware pipelines, and visualization of large-scale measured data.
Work package 2 — Optical material simulation (xDDiff) - since 2025
- Extension toward predictive simulation of material appearance (e.g., BRDF, BTDF, BSSRDF) in the context of the European project
xDDiff.
- Goal: connect simulation to measurements, study model validity, and support physically reliable workflows for appearance analysis.
- Cross-cutting challenge: building scalable tools and representations that make acquisition–simulation–validation loops more fluid.
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2019 - 2022
PhD thesis
Before doing a thesis in the STORM
team, I joined IRIT (Institut de Recherche en Informatique de Toulouse) in March 2019 for a six-month internship.
My thesis subject Real spherical harmonics for lighting simulation and real-time rendering is quite general,
however my work particularly focuses on the use of spherical harmonics, greatly exploited for rendering in Computer Graphics.
Advisor: Mathias Paulin
Affiliation: IRIT, Université de Toulouse, CNRS, INPT, UPS, UT1C, UT2J, France
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2017 - 2019
Master Degree
I graduated from Paul Sab University - Toulouse III where I studied computer graphics and image analysis (IGAI - Informatique Graphique et Analyse d'Images).
Major in both years of the master's degree.
I received the CIMI excellence scholarships for both years.
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2014 - 2017
Licence Degree
I graduated from Paul Sab University - Toulouse III where I studied computer science.
Major in the second and third year of the licence.
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Photogrammetry project (under work)
- Creation of an autonomous acquisition device.
- Processing with common software.
- PeRF (Photos extraction of Reflectance Field) C++ code to extract the reflectance field from a set of sparse photos.
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Locating moving objects in 2D video and adding a 3D audio simulation
Teaching project realized with Charles Beaudonnet.
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Locating objects in 2D images
Teaching project realized with Anna Laporte and Suzanne Sorli.
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SolarSim
3D simulator of false solar systems.
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Game of life
The famous game of life in C with SDL library.
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