Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Paul-Edouard Sarlin"'
Autor:
Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ce54be70323d18880eb9601b24fdfdb
https://doi.org/10.1007/978-3-031-20071-7_40
https://doi.org/10.1007/978-3-031-20071-7_40
Finding local features that are repeatable across multiple views is a cornerstone of sparse 3D reconstruction. The classical image matching paradigm detects keypoints per-image once and for all, which can yield poorly-localized features and propagate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8e13c57d214ecf659b62ce2d989b69c
http://arxiv.org/abs/2108.08291
http://arxiv.org/abs/2108.08291
Autor:
Hugo Germain, Torsten Sattler, Fredrik Kahl, Paul-Edouard Sarlin, Vincent Lepetit, Marc Pollefeys, Viktor Larsson, Ajaykumar Unagar, Lars Hammarstrand, Måns Larsson, Carl Toft
Publikováno v:
CVPR
Conference on Computer Vision and Pattern Recognition
Conference on Computer Vision and Pattern Recognition, 2021, Online, United States
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference on Computer Vision and Pattern Recognition
Conference on Computer Vision and Pattern Recognition, 2021, Online, United States
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Camera pose estimation in known scenes is a 3D geometry task recently tackled by multiple learning algorithms. Many regress precise geometric quantities, like poses or 3D points, from an input image. This either fails to generalize to new viewpoints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22b78e02039e0f35d7f53b3be98d1f3a
Publikováno v:
CVPR
This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points. Assignments are estimated by solving a differentiable optimal transport problem, whose co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cd1f9cc32c38160edf4e5c8ed8c75f0
http://arxiv.org/abs/1911.11763
http://arxiv.org/abs/1911.11763
Publikováno v:
ICCV Workshops
Deep learning has enabled impressive progress in the accuracy of semantic segmentation. Yet, the ability to estimate uncertainty and detect anomalies is key for safety-critical applications like autonomous driving. Existing uncertainty estimates have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10ac2ad3a013e7b965f875ca134ea8d2
https://doi.org/10.1109/iccvw.2019.00294
https://doi.org/10.1109/iccvw.2019.00294
Publikováno v:
International Journal of Computer Vision, 129 (11)
Deep learning has enabled impressive progress in the accuracy of semantic segmentation. Yet, the ability to estimate uncertainty and detect failure is key for safety-critical applications like autonomous driving. Existing uncertainty estimates have m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b07152748c319dac3b71cbf719da8e
Publikováno v:
CVPR
Robust and accurate visual localization is a fundamental capability for numerous applications, such as autonomous driving, mobile robotics, or augmented reality. It remains, however, a challenging task, particularly for large-scale environments and i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce88eef7260d59aaa75707b1811a64b0
https://hdl.handle.net/20.500.11850/318867
https://hdl.handle.net/20.500.11850/318867
Autor:
'Paul-Edouard Sarlin
Publikováno v:
Ajaykumar Unagar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::66af5174cf4cec60ccca09dac1009f42