Add to ORKGInternational audienceWe describe a framework for robust shape reconstruction from raw point sets, based on optimal transportation between measures, where the input point sets are seen as distribution of masses. In addition to robustness to defect-laden point sets, hampered with noise and outliers, our approach can reconstruct smooth closed shapes as well as piecewise smooth shapes with boundaries
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
A method for recovery of compact volumetric models for shape representation and segmentation in comp...
AbstractCurve reconstruction algorithms are supposed to reconstruct curves from point samples. Recen...
Abstract. We describe a framework for robust shape reconstruction from raw point sets, based on opti...
We propose a robust 2D shape reconstruction and simplification algorithm which takes as input a defe...
We propose a noise-adaptive shape reconstruction method specialized to smooth, closed shapes. Our al...
Au cours des vingt dernières années, de nombreux algorithmes de reconstruction de surface ont été dé...
dissertationWe study robust estimators for uncertain points and sketching of lines, trajectories, an...
Optimization is becoming an important field of research. The availability of more powerful computati...
© 2020 IEEE We study the problem of 3D shape reconstruction from 2D landmarks extracted in a single ...
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it h...
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it h...
We propose a robust, feature-preserving surface reconstruction algorithm which turns a point set wit...
Rigid structure-from-motion (RSfM) and non-rigid structure-from-motion (NRSfM) have long been treate...
The problem of reconstructing a shape from its sample appears in many scientific and engineering app...
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
A method for recovery of compact volumetric models for shape representation and segmentation in comp...
AbstractCurve reconstruction algorithms are supposed to reconstruct curves from point samples. Recen...
Abstract. We describe a framework for robust shape reconstruction from raw point sets, based on opti...
We propose a robust 2D shape reconstruction and simplification algorithm which takes as input a defe...
We propose a noise-adaptive shape reconstruction method specialized to smooth, closed shapes. Our al...
Au cours des vingt dernières années, de nombreux algorithmes de reconstruction de surface ont été dé...
dissertationWe study robust estimators for uncertain points and sketching of lines, trajectories, an...
Optimization is becoming an important field of research. The availability of more powerful computati...
© 2020 IEEE We study the problem of 3D shape reconstruction from 2D landmarks extracted in a single ...
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it h...
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it h...
We propose a robust, feature-preserving surface reconstruction algorithm which turns a point set wit...
Rigid structure-from-motion (RSfM) and non-rigid structure-from-motion (NRSfM) have long been treate...
The problem of reconstructing a shape from its sample appears in many scientific and engineering app...
Curve reconstruction algorithms are supposed to reconstruct curves from point samples. Recent papers...
A method for recovery of compact volumetric models for shape representation and segmentation in comp...
AbstractCurve reconstruction algorithms are supposed to reconstruct curves from point samples. Recen...