Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Faouzi, Ghorbel"'
Publikováno v:
Visual Informatics, Vol 5, Iss 1, Pp 67-75 (2021)
The conventional 2D metrics can be used for measuring the quality of depth maps, but none of them is considered to be efficient and is not accurate when used for evaluating 3D quality. In this paper, we propose a new full reference objective metric,
Externí odkaz:
https://doaj.org/article/d908849ccfd54752b31ddd5dd2b208d6
Publikováno v:
In Digital Applications in Archaeology and Cultural Heritage 2016 3(4):99-107
Publikováno v:
Neural Computing and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccc11448b801cd63a4f0240f9a1a179f
https://doi.org/10.1007/s00521-023-08639-1
https://doi.org/10.1007/s00521-023-08639-1
Autor:
Djoudi Kerfa, Faouzi Ghorbel
Publikováno v:
SN Computer Science. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f253068aabcd555b0f09fb0d2aa9f3d7
https://doi.org/10.1007/s42979-023-01757-6
https://doi.org/10.1007/s42979-023-01757-6
Autor:
Ibtissem Ben Othman, Faouzi Ghorbel
Publikováno v:
International Journal of Neural Networks and Advanced Applications. 9:5-11
Despite of the widespread use of the neural networks in the industrial applications, their mathematical formulation remains difficult to analyze. This explains a limited amount of work that formally models their classification volatility. Referring t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc80c7e21df1d13127ce4da592b1dd4f
https://doi.org/10.46300/91016.2022.9.2
https://doi.org/10.46300/91016.2022.9.2
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 10:687-696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d705052a694041fd20d2419046605a48
https://doi.org/10.1080/21681163.2021.2024089
https://doi.org/10.1080/21681163.2021.2024089
Publikováno v:
IEEE Transactions on Image Processing. 31:5788-5800
In a previous work, we have proposed a morphing method based on invertible and stable descriptors that are invariant to Euclidean transformations and to the starting point. The stability guarantees the closeness in the shape sense of the reconstructe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff79f9263f7a0ed9015f884dc96c3268
https://doi.org/10.1109/tip.2022.3199105
https://doi.org/10.1109/tip.2022.3199105
Publikováno v:
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a239132d0dd3a25797b9c2be892ebd9
https://doi.org/10.5220/0011895500003411
https://doi.org/10.5220/0011895500003411
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c24442702e590857154d6c47c983e7d
https://doi.org/10.5220/0011706400003417
https://doi.org/10.5220/0011706400003417
Autor:
Sinda Elghoul, Faouzi Ghorbel
Publikováno v:
International Journal of Multimedia Information Retrieval. 11:39-59
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::683a4028ec4cb0c1de60faeb3a18bf47
https://doi.org/10.1007/s13735-021-00224-3
https://doi.org/10.1007/s13735-021-00224-3