7 citations · 12 across the 9 of their papers we have counts for
6 papers · 1 filter
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,…
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…