Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Ramzi Idoughi"'
Autor:
Françoise Viallefont-Robinet, Cédric Bacour, Marc Bouvet, Malika Kheireddine, Mustapha Ouhssain, Ramzi Idoughi, Léo Grignon, Eric Munesa, François Lemaître, Thomas Rivière
Publikováno v:
Remote Sensing, Vol 11, Iss 20, p 2446 (2019)
The characterization of sands detailed in this paper has been performed in order to support the in-flight radiometric performance assessment of space-borne optical sensors over the so-called Pseudo-Invariant Calibration Sites (PICS). Although the phy
Externí odkaz:
https://doaj.org/article/7eb91f87bd3341668fb3fe2ee97f6f9d
Publikováno v:
Journal of Spectroscopy, Vol 2016 (2016)
Hyperspectral imaging in the long-wave infrared (LWIR) is a mean that is proving its worth in the characterization of gaseous effluent. Indeed the spectral and spatial resolution of acquisition instruments is steadily decreasing, making the gases cha
Externí odkaz:
https://doaj.org/article/42119abdbb3140b08627812abb4fcf47
Publikováno v:
Journal of Spectroscopy, Vol 2016 (2016)
Externí odkaz:
https://doaj.org/article/9686a2383e144439844a4706a96a5687
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6af1e96fb25d44b7f24f7f3241ee27dd
https://doi.org/10.1109/icip46576.2022.9897501
https://doi.org/10.1109/icip46576.2022.9897501
Autor:
Wolfgang Heidrich, Balaji Mohan, Tiegang Fang, Jianguo Du, Guangming Zang, Ramzi Idoughi, William L. Roberts, Jaeheon Sim, Peter Wonka
Publikováno v:
Proceedings of the Combustion Institute. 38:3223-3231
Flash boiling and plume interaction are common phenomena occurring in gasoline direct injection (GDI) spray at throttling and low load engine conditions. Combined with optical engines and low-pressure vessels, several optical techniques, such as back
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca641944b42bf030ff05c65f76401cb0
https://doi.org/10.1016/j.proci.2020.06.171
https://doi.org/10.1016/j.proci.2020.06.171
In this paper, we present Neural Adaptive Tomography (NeAT), the first adaptive, hierarchical neural rendering pipeline for tomography. Through a combination of neural features with an adaptive explicit representation, we achieve reconstruction times
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::225ab687e21f217aaf32d3ac7284fa91
Publikováno v:
2021 International Conference on 3D Vision (3DV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e186bf22709c96b0a07b83837a2c669b
https://doi.org/10.1109/3dv53792.2021.00028
https://doi.org/10.1109/3dv53792.2021.00028
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb2ee557467434ad476a06d22337597e
https://doi.org/10.1109/iccv48922.2021.00197
https://doi.org/10.1109/iccv48922.2021.00197
Publikováno v:
ACM Transactions on Graphics. 38:1-13
Computed tomography has emerged as the method of choice for scanning complex shapes as well as interior structures of stationary objects. Recent progress has also allowed the use of CT for analyzing deforming objects and dynamic phenomena, although t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05f1d75be8b2c2b7b11713b8cb9641ad
https://doi.org/10.1145/3306346.3322965
https://doi.org/10.1145/3306346.3322965
Autor:
Guangming Zang, Congli Wang, Jianguo Du, Wolfgang Heidrich, Anthony Bennett, William L. Roberts, Ramzi Idoughi, Peter Wonka, Scott A. Skeen
Publikováno v:
CVPR
Visible light tomography is a promising and increasingly popular technique for fluid imaging. However, the use of a sparse number of viewpoints in the capturing setups makes the reconstruction of fluid flows very challenging. In this paper, we presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2a1385d6c5d1939a79dd63aec8c7472
https://doi.org/10.1109/cvpr42600.2020.00194
https://doi.org/10.1109/cvpr42600.2020.00194