Arnaud Bletterer
Research scientist, Research Team Leader
Computer Graphics, Image/Geometry processing, Machine learning
I am a curious individual, always striving to question and solve challenging real-world problematics.
I have developed a particular proficiency at identifying and implementing practical solutions, with an Occam’s razor perspective as often as possible.
I love explaining how things work, and identifying how they can be improved.
I believe that research should remain closely tied to real-world industrial challenges, ensuring its relevance and applicability.
Research development should be conducted in direct alignment with the final software deliverables, enabling solutions that are more tailored to specific market needs and ensuring a seamless and quick transition from innovation to implementation.
“Bernard of Chartres used to compare us to dwarfs perched on the shoulders of giants. He pointed out that we see more and farther than our predecessors, not because we have keener vision or greater height, but because we are lifted up and borne aloft on their gigantic stature.” [John of Salisbury]
Employment
Since January 2026
Research Team Leader/Research Engineer at Quartier Latin (QuantifiCare spin-off)
- Continuation of hands-on research and technical leadership responsibilities alongside team management.
March 2023 - December 2025
Research Team Leader at QuantifiCare
- Leading a team of researchers and engineers, ensuring efficient progress tracking and priority alignment through weekly interactions.
- Driving innovation strategy development and overseeing the planning and execution of research activities to achieve organizational goals.
December 2018 - December 2025
Research Engineer at QuantifiCare
- Collaborating daily with R&D engineers to design and implement cutting-edge technical solutions.
- Delivering presentations and simplifying complex technical concepts for diverse audiences.
- Leading the design, implementation, and validation of algorithms across QuantifiCare’s software portfolio, including:
- 3D reconstruction from stereo images.
- Rigid and non-rigid mesh registration techniques.
- Advanced mesh texturing methods.
- Intuitive 3D visualization tools.
October 2014 - December 2018
Ph.D student at I3S Laboratory in the MediaCoding team and in collaboration with Cintoo
A graph-based approach for modeling and processing gigantic point clouds from terrestrial LiDARs acquisitions (french version)
Education
2018
Ph.D in Automatic, Signal and Image Processing, Université Côte d’Azur
2014
Master in Computer Science, Université de Strasbourg
2012
Bachelor in Computer Science, Université de Strasbourg
Skills
Computer science
- Image processing (convolution filters, superpixel segmentation)
OpenCV/Pillow - Geometry processing (3d reconstruction, mesh processing)
Meshlab/IGL - Machine learning (neural networks, PLS regression, morphable models)
Pytorch/NumPy/scikit-learn - Computer graphics (multi-pass/multi-scale rendering, texturing)
OpenGL/WebGL - Programming (C, C++, Python)
Visual Studio/Visual Studio Code - Code versioning (Git)
Gitlab/Gitea - Systems (Windows, MacOS, Linux)
WSL/Debian/Arch Linux
Languages
| French 🇫🇷 : native speaker | German 🇩🇪 : school level |
| English 🇬🇧/🇺🇸 : professional use | Russian 🇷🇺 : beginner |
Publications
I mostly published prior to joining the industry, in the fields of point cloud processing and 3D reconstruction from LiDAR acquisitions of cultural heritage sites. More recently, my research interests have also expanded towards image processing and machine learning.
2025
Objective Assessment of Target Vitiligo Areas by Semiautomatic Analysis of Standardized UV Images
Charles Jabour, Arnaud Bletterer, Thierry Passeron. JAMA dermatology
2024
Automatic Acne Severity Grading with a Small and Imbalanced Data Set of Low-Resolution Images
Rémi Bernhard, Arnaud Bletterer, Maëlle Le Caro, Estrella García Álvarez, Belchin Kostov, and Diego Herrera Egea. Dermatology and Therapy
2022
Graph-based Computation of Voronoi Diagrams on Large-scale Point-based Surfaces
Arnaud Bletterer, Frédéric Payan, and Marc Antonini. Eurographics
2020
A local graph-based structure for processing gigantic aggregated 3D point clouds
Arnaud Bletterer, Frédéric Payan, and Marc Antonini. IEEE TVCG
2018
Out-of-core Resampling of Gigantic Point Clouds
Arnaud Bletterer, Frédéric Payan, Marc Antonini, and Anis Meftah. SGP
2016
Point cloud compression using depth maps
Arnaud Bletterer, Frédéric Payan, Marc Antonini, and Anis Meftah. Electronic Imaging
You can find the exhaustive list on Google Scholar
Miscellaneous
I love spending my free time:
