activity
20122026
most citedHigh-precision camera distortion measurements with a "calibration harp"

17 citations · 59 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CG2026

Generalize cross-ratios in n-dimensional Plane-Based Geometric Algebra

Enzo Harquin, Stephane Breuils, Pascal Monasse +2

We develop a complete theory of projective cross-ratios in n-dimensional Plane-Based Geometric Algebra (PGA), R(n,0,1), covering geometric objects of every grade: finite and ideal…

cs.CV2023★ 1 cited

MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision

Antoine Guédon, Tom Monnier, Pascal Monasse +1

We introduce a method that simultaneously learns to explore new large environments and to reconstruct them in 3D from color images only. This is closely related to the Next Best Vi…

cs.CV2022★ 4 cited

SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration

Antoine Guédon, Pascal Monasse, Vincent Lepetit

Next Best View computation (NBV) is a long-standing problem in robotics, and consists in identifying the next most informative sensor position(s) for reconstructing a 3D object or…

cs.CV2021★ 7 cited

Improving neural implicit surfaces geometry with patch warping

François Darmon, Bénédicte Bascle, Jean-Clément Devaux +2

Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited. In this paper, we argue that this comes from the di…

cs.CV2021★ 16 cited

Deep Multi-View Stereo gone wild

François Darmon, Bénédicte Bascle, Jean-Clément Devaux +2

Deep multi-view stereo (MVS) methods have been developed and extensively compared on simple datasets, where they now outperform classical approaches. In this paper, we ask whether…

cs.CV2020★ 12 cited

Learning to Guide Local Feature Matches

François Darmon, Mathieu Aubry, Pascal Monasse

We tackle the problem of finding accurate and robust keypoint correspondences between images. We propose a learning-based approach to guide local feature matches via a learned appr…