6 papers
Diffusion-Based Multi-Class Normality for OOD Detection: An Application to CDP Authentication
Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1
Reconstruction-based generative models offer a natural framework for unsupervised out-of-distribution (OOD) detection, but multi-class normality modelling requires a single detecto…
Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning
Bolutife Atoki, Iuliia Tkachenko, Bertrand Kerautret +1
Counterfeiting affects diverse industries, including pharmaceuticals, electronics, and food, posing serious health and economic risks. Printable unclonable codes, such as Copy Dete…
The R-Vessel-X Project
Abir Affane, Mohamed Amine Chetoui, Jonas Lamy +16
1) Objectives: This technical report presents a synthetic summary and the principal outcomes of the project R-Vessel-X ("Robust vascular network extraction and understanding within…
Robust reconstructions by multi-scale/irregular tangential covering
Antoine Vacavant, Bertrand Kerautret, Fabien Feschet
In this paper, we propose an original manner to employ a tangential cover algorithm - minDSS - in order to geometrically reconstruct noisy digital contours. To do so, we exploit th…
Geometric Total Variation for Image Vectorization, Zooming and Pixel Art Depixelizing
Bertrand Kerautret, Jacques-Olivier Lachaud
We propose an original method for vectorizing an image or zooming it at an arbitrary scale. The core of our method relies on the resolution of a geometric variational model and the…
3D Geometric Analysis of Tubular Objects based on Surface Normal Accumulation
Bertrand Kerautret, Adrien Krähenbühl, Isabelle Debled-Rennesson +1
This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects. Our method constructs an image that accumul…