OpenMVG: Open Multiple View Geometry
By Pierre Moulon, Pascal Monasse, Romuald Perrot, Renaud Marlet. RRPR@ICPR, 2016
416 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/e8814c707e8a7068ed35c35b90c06a178a5fa93b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Vladlen Koltun
- Jaesik Park
- Marc Pollefeys
- Qian-Yi Zhou
- Roland Yves Siegwart
- Simon Lynen
- Arno Knapitsch
- Thomas Schneider
In Computer Vision and Pattern Recognition
- Vladlen Koltun
- Andreas Geiger
- Marc Pollefeys
- Luc Van Gool
- Jitendra Malik
- Jaesik Park
- Xiaogang Wang
- Ming-Hsuan Yang
Citations in the corpus
- PatchmatchNet: Learned Multi-View Patchmatch Stereo (2020, methodology): “The camera parameters and sparse point cloud are recovered with OpenMVG [29].”
- Tanks and temples (2017, methodology): “OpenMVG is a comprehensive and actively maintained open-source multi-view geometry library [Moulon et al. 2016].”
- Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization (2017, background): “Systems that aim to reconstruct the 3d structure from large collections of unordered images [2, 29, 30] also contain functionalities similar to maplab.”