Loïc Barthe
YOU?
Author Swipe
View article: ImmersiveIML – Immersive interactive machine learning for 3D point cloud classification: the neural network at your fingertips
ImmersiveIML – Immersive interactive machine learning for 3D point cloud classification: the neural network at your fingertips Open
We propose an initial exploration of an interactive machine-learning (IML) dialogue in immersive, interactive Virtual Reality (VR) for the classification of points in 3D point clouds. We contribute ImmersiveIML, an Immersive Analytics tool…
View article: User-Driven Constraints for Layout Optimisation in Augmented Reality
User-Driven Constraints for Layout Optimisation in Augmented Reality Open
International audience
View article: PCEDNet - Replicability material
PCEDNet - Replicability material Open
Material required to replicate the paper: Chems-Eddine Himeur, Thibault Lejemble, Thomas Pellegrini, Mathias Paulin, Loic Barthe, and Nicolas Mellado. 2021. PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge Detection in …
View article: PCEDNet - Replicability material
PCEDNet - Replicability material Open
Material required to replicate the paper: Chems-Eddine Himeur, Thibault Lejemble, Thomas Pellegrini, Mathias Paulin, Loic Barthe, and Nicolas Mellado. 2021. PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge Detection in …
View article: STORM-IRIT/Radium-Engine: v1.3.0
STORM-IRIT/Radium-Engine: v1.3.0 Open
Research 3D Engine for rendering, animation and processing
View article: Recursive analytic spherical harmonics gradient for spherical lights
Recursive analytic spherical harmonics gradient for spherical lights Open
When rendering images using Spherical Harmonics (SH), the projection of a spherical function on the SH basis remains a computational challenge both for high‐frequency functions and for emission functions from complex light sources. Recent …
View article: PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds
PCEDNet: A Lightweight Neural Network for Fast and Interactive Edge Detection in 3D Point Clouds Open
In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis tools for processing point clouds, e.g., for reconstruction, segmentation, and classification. In this article, we focus on the classification of edg…
View article: Stable and efficient differential estimators on oriented point clouds
Stable and efficient differential estimators on oriented point clouds Open
Point clouds are now ubiquitous in computer graphics and computer vision. Differential properties of the point‐sampled surface, such as principal curvatures, are important to estimate in order to locally characterize the scanned shape. To …
View article: Towards a ternary interpolating subdivision scheme for the triangular mesh
Towards a ternary interpolating subdivision scheme for the triangular mesh Open
We derive a ternary interpolating subdivision scheme which works on the regular triangular mesh. It has quadratic precision and fulfils the standard necessary conditions for C2 continuity. Further analysis is required to determine its actu…
View article: PCEDNet : A Neural Network for Fast and Efficient Edge Detection in 3D Point Clouds.
PCEDNet : A Neural Network for Fast and Efficient Edge Detection in 3D Point Clouds. Open
In recent years, Convolutional Neural Networks (CNN) have proven to be efficient analysis tools for processing point clouds, e.g., for reconstruction, segmentation and classification. In this paper, we focus on the classification of edges …
View article: VIPER: Volume Invariant Position-based Elastic Rods
VIPER: Volume Invariant Position-based Elastic Rods Open
We extend the formulation of position-based rods to include elastic volumetric deformations. We achieve this by introducing an additional degree of freedom per vertex -- isotropic scale (and its velocity). Including scale enriches the spac…
View article: SHREC'19 track: Feature Curve Extraction on Triangle Meshes
SHREC'19 track: Feature Curve Extraction on Triangle Meshes Open
International audience
View article: Feature Curve Extraction on Triangle Meshes
Feature Curve Extraction on Triangle Meshes Open
This paper presents the results of the SHREC'19 track: Feature curve extraction on triangle meshes. Given a model, the challenge consists in automatically extracting a subset of the mesh vertices that jointly represent a feature curve. As …
View article: Structuring and layering contour drawings of organic shapes
Structuring and layering contour drawings of organic shapes Open
Complex vector drawings serve as convenient and expressive visual representations, but they remain difficult to edit or manipulate. For clean-line vector drawings of smooth organic shapes, we describe a method to automatically extract a la…
View article: Recognition of Geometric Patterns Over 3D Models
Recognition of Geometric Patterns Over 3D Models Open
This track of the SHREC 2018 originally aimed at recognizing relief patterns over a set of triangle meshes from laser scan acquisitions of archaeological fragments. This track approaches a lively and very challenging problem that remains o…
View article: Sketch-based implicit blending
Sketch-based implicit blending Open
Implicit models can be combined by using composition operators; functions that determine the resulting shape. Recently, gradient-based composition operators have been used to express a variety of behaviours including smooth transitions, sh…
View article: Constrained palette-space exploration
Constrained palette-space exploration Open
Color palettes are widely used by artists to define colors of artworks and explore color designs. In general, artists select the colors of a palette by following a set of rules, e.g. contrast or relative luminance. Existing interactive pal…
View article: From drawing to animation-ready vector graphics
From drawing to animation-ready vector graphics Open
We present an automatic method to build a layered vector graphics structure ready for animation from a clean-line vector drawing of an organic, smooth shape. Inspiring from 3D segmentation methods, we introduce a new metric computed on the…