Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Fabien Castan"'
Autor:
Carsten Griwodz, Fabien Castan, Simone Gasparini, Gregoire De Lillo, Yann Lanthony, Pierre Gurdjos, Lilian Calvet, Benoit Maujean
Publikováno v:
MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference : ISBN: 978-1-4503-8434-6
12th ACM Multimedia Systems Conference (MMSys 2021)
12th ACM Multimedia Systems Conference (MMSys 2021), Sep 2021, Istanbul, Turkey. pp.241-247, ⟨10.1145/3458305.3478443⟩
12th ACM Multimedia Systems Conference (MMSys 2021)
12th ACM Multimedia Systems Conference (MMSys 2021), Sep 2021, Istanbul, Turkey. pp.241-247, ⟨10.1145/3458305.3478443⟩
This paper introduces the Meshroom software and its underlying 3D computer vision framework AliceVision. This solution provides a photogrammetry pipeline to reconstruct 3D scenes from a set of unordered images. It also features other pipelines for fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7a878a9e49f54ee5840d17a6d048155
https://doi.org/10.1145/3458305.3478443
https://doi.org/10.1145/3458305.3478443
Publikováno v:
Scale Space and Variational Methods in Computer Vision
7th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2019)
7th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2019), Jun 2019, Hofgeismar, Germany. pp.51-63
SSVM 2019: Scale Space and Variational Methods in Computer Vision
Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)
Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2019, Hofgeismar, Germany. pp.51-53, ⟨10.1007/978-3-030-22368-7_5⟩
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
7th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2019)
7th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2019), Jun 2019, Hofgeismar, Germany. pp.51-63
SSVM 2019: Scale Space and Variational Methods in Computer Vision
Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM)
Seventh International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Jun 2019, Hofgeismar, Germany. pp.51-53, ⟨10.1007/978-3-030-22368-7_5⟩
Lecture Notes in Computer Science ISBN: 9783030223670
SSVM
International audience; We put forward a simple, yet eective splitting strategy for multi-view stereopsis. It recasts the minimization of the classic photo-consistency + gradient regularization functional as a sequence of simple problems which can be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a24c42a4977bc43b5845c16d098bf62b
https://hal.archives-ouvertes.fr/hal-02495730/document
https://hal.archives-ouvertes.fr/hal-02495730/document
Publikováno v:
Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2017
International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)
International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Oct 2017, Venise, Italy. pp.342-357
EMMCVPR 2017: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Revised Selected Papers.
11th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017)
11th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017), Oct 2017, Venice, Italy. pp.342-357, ⟨10.1007/978-3-319-78199-0_23⟩
Lecture Notes in Computer Science ISBN: 9783319781983
EMMCVPR
International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)
International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Oct 2017, Venise, Italy. pp.342-357
EMMCVPR 2017: International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, Revised Selected Papers.
11th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017)
11th International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017), Oct 2017, Venice, Italy. pp.342-357, ⟨10.1007/978-3-319-78199-0_23⟩
Lecture Notes in Computer Science ISBN: 9783319781983
EMMCVPR
A numerical solution to shape-from-shading under natural illumination is presented. It builds upon an augmented Lagrangian approach for solving a generic PDE-based shape-from-shading model which handles directional or spherical harmonic lighting, ort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6baacec56a091f8100f24b432f9b131b
https://hal.archives-ouvertes.fr/hal-02651465/document
https://hal.archives-ouvertes.fr/hal-02651465/document
Publikováno v:
SSVM 2017: Scale Space and Variational Methods in Computer Vision
6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017)
6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017), Jun 2017, Kolding, Denmark. pp. 694-705, ⟨10.1007/978-3-319-58771-4_55⟩
Lecture Notes in Computer Science ISBN: 9783319587707
SSVM
6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017)
6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017), Jun 2017, Kolding, Denmark. pp. 694-705, ⟨10.1007/978-3-319-58771-4_55⟩
Lecture Notes in Computer Science ISBN: 9783319587707
SSVM
International audience; We introduce a variational framework for separating shading and reflectance from a series of images acquired under different angles, when the geometry has already been estimated by multi-view stereo. Our formulation uses an l1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f664a95191115b7c0b02fb9af0c4b09
https://hal.archives-ouvertes.fr/hal-01787432/document
https://hal.archives-ouvertes.fr/hal-01787432/document
Publikováno v:
Sensors, Vol 22, Iss 4, p 1384 (2022)
Internet-of-Things (IoT) and sensor technologies have enabled the collection of data in a distributed fashion for analysis and evidence-based decision making. However, security concerns regarding the source, confidentiality and integrity of the data
Externí odkaz:
https://doaj.org/article/25db7ae192ac4f49885ed85e009766e1
Publikováno v:
Beilstein Journal of Nanotechnology, Vol 3, Iss 1, Pp 301-311 (2012)
Background: Characterization at the atomic scale is becoming an achievable task for FM-AFM users equipped, for example, with a qPlus sensor. Nevertheless, calculations are necessary to fully interpret experimental images in some specific cases. In th
Externí odkaz:
https://doaj.org/article/b94dee890bff4570a82dc8397e865a10