Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Yvain Quéau"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The aim of this note is to revisit the connections between some stochastic games, namely Tug-of-War games, and a class of nonlocal PDEs on graphs. We consider a general formulation of Tug-of-War games which is shown to be related to many cla
Externí odkaz:
https://doaj.org/article/bc25502887f94ee2861e8efe06f72b3e
Publikováno v:
Computational Visual Media, Vol 3, Iss 2, Pp 107-129 (2017)
Abstract The integration of surface normals for the purpose of computing the shape of a surface in 3D space is a classic problem in computer vision. However, even nowadays it is still a challenging task to devise a method that is flexible enough to w
Externí odkaz:
https://doaj.org/article/cfb487aab57c4102be63b570ee2319a3
Publikováno v:
International Journal of Computer Vision. 131:346-362
Many problems in imaging and low-level vision can be formulated as nonconvex variational problems. A promising class of approaches to tackle such problems are convex relaxation methods, which consider a lifting of the energy functional to a higher-di
Publikováno v:
Journal of Mathematical Imaging and Vision. 65:1-3
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d01e94e3748080a516117b4dd3b20cc
https://doi.org/10.1007/978-3-031-31975-4_31
https://doi.org/10.1007/978-3-031-31975-4_31
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a39ef295a40c46eab1fa9897133c6e43
https://doi.org/10.1007/978-3-031-31975-4_53
https://doi.org/10.1007/978-3-031-31975-4_53
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Autor:
Robert Kenner, Valentin Gischig, Zan Gojcic, Yvain Quéau, Christian Kienholz, Daniel Figi, Reto Thöny, Yves Bonanomi
Publikováno v:
Landslides, 19 (6)
Lidar measurements and UAV photogrammetry provide high-resolution point clouds well suited for the investigation of slope deformations. Today, however, the information contained in these point clouds is rarely fully exploited. This study shows three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da5c3879a4d0c5988495b16766250ed4
https://hdl.handle.net/20.500.11850/540017
https://hdl.handle.net/20.500.11850/540017
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (10), pp.2453--2464. ⟨10.1109/TPAMI.2019.2923621⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (10), pp.2453--2464. ⟨10.1109/TPAMI.2019.2923621⟩
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to the higher resolution of the companion RGB image. A single-shot variati
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030755485
SSVM
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021)
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), 2021, Cabourg, France. pp.153-164, ⟨10.1007/978-3-030-75549-2_13⟩
SSVM
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021)
International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), 2021, Cabourg, France. pp.153-164, ⟨10.1007/978-3-030-75549-2_13⟩
International audience; Photometric stereo infers the 3D-shape of a surface from a sequence of images captured under moving lighting and a static camera. However, in real-world scenarios the viewing angle may slightly vary, due to vibrations induced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe00ec9fed08933a519e4b5feece27f8
https://doi.org/10.1007/978-3-030-75549-2_13
https://doi.org/10.1007/978-3-030-75549-2_13