7 citations · 18 across the 13 of their papers we have counts for
16 papers
Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent
Nathan Buskulic, Jalal Fadili, Yvain Quéau
Advanced machine learning methods, and more prominently neural networks, have become standard to solve inverse problems over the last years. However, the theoretical recovery guara…
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction
Baptiste Brument, Robin Bruneau, Yvain Quéau +5
This paper introduces a versatile paradigm for integrating multi-view reflectance (optional) and normal maps acquired through photometric stereo. Our approach employs a pixel-wise…
Convergence Guarantees of Overparametrized Wide Deep Inverse Prior
Nathan Buskulic, Yvain Quéau, Jalal Fadili
Neural networks have become a prominent approach to solve inverse problems in recent years. Amongst the different existing methods, the Deep Image/Inverse Priors (DIPs) technique i…
On the well-posedness of uncalibrated photometric stereo under general lighting
Mohammed Brahimi, Yvain Quéau, Bjoern Haefner +1
Uncalibrated photometric stereo aims at estimating the 3D-shape of a surface, given a set of images captured from the same viewing angle, but under unknown, varying illumination. W…
Variational Uncalibrated Photometric Stereo under General Lighting
Bjoern Haefner, Zhenzhang Ye, Maolin Gao +3
Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions,…
Design and simplified calibration of a Mueller imaging polarimeter for material classification
Yvain Quéau, Florian Leporcq, Ayman Alfalou
This study is concerned with the design of a Mueller imaging polarimeter for the visualization of spatially-varying Mueller matrix fields. A simplified calibration procedure is adv…
Photometric Depth Super-Resolution
Bjoern Haefner, Songyou Peng, Alok Verma +2
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to t…
Optimisation of photometric stereo methods by non-convex variational minimisation
Georg Radow, Laurent Hoeltgen, Yvain Quéau +1
Estimating shape and appearance of a three dimensional object from a given set of images is a classic research topic that is still actively pursued. Among the various techniques av…
Variational Methods for Normal Integration
Yvain Quéau, Jean-Denis Durou, Jean-François Aujol
The need for an efficient method of integration of a dense normal field is inspired by several computer vision tasks, such as shape-from-shading, photometric stereo, deflectometry,…
Normal Integration: A Survey
Yvain Quéau, Jean-Denis Durou, Jean-François Aujol
The need for efficient normal integration methods is driven by several computer vision tasks such as shape-from-shading, photometric stereo, deflectometry, etc. In the first part o…
A Variational Approach to Shape-from-shading Under Natural Illumination
Yvain Quéau, Jean Mélou, Fabien Castan +2
A numerical solution to shape-from-shading under natural illumination is presented. It builds upon an augmented Lagrangian approach for solving a generic PDE-based shape-from-shadi…
Variational Reflectance Estimation from Multi-view Images
Jean Mélou, Yvain Quéau, Jean-Denis Durou +2
We tackle the problem of reflectance estimation from a set of multi-view images, assuming known geometry. The approach we put forward turns the input images into reflectance maps,…
Depth Super-Resolution Meets Uncalibrated Photometric Stereo
Songyou Peng, Bjoern Haefner, Yvain Quéau +1
A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates depth super-resolution through high-resolution photometric clues and, symmetrically, it dis…
LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution
Yvain Quéau, Bastien Durix, Tao Wu +3
We conduct a thorough study of photometric stereo under nearby point light source illumination, from modeling to numerical solution, through calibration. In the classical formulati…
Dense Multi-view 3D-reconstruction Without Dense Correspondences
Yvain Quéau, Jean Mélou, Jean-Denis Durou +1
We introduce a variational method for multi-view shape-from-shading under natural illumination. The key idea is to couple PDE-based solutions for single-image based shape-from-shad…
Fast and Accurate Surface Normal Integration on Non-Rectangular Domains
Martin Bähr, Michael Breuß, Yvain Quéau +2
The integration of surface normals for the purpose of computing the shape of a surface in 3D space is a classic problem in computer vision. However, even nowadays it is still a cha…