Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Sylvie Chambon"'
Autor:
Geoffrey Roman‐Jimenez, Patrice Guyot, Thierry Malon, Sylvie Chambon, Vincent Charvillat, Alain Crouzil, André Péninou, Julien Pinquier, Florence Sedes, Christine Sénac
Publikováno v:
IET Computer Vision, Vol 15, Iss 2, Pp 85-98 (2021)
Abstract Herein, the problem of vehicle re‐identification using distance comparison of images in CNN latent spaces is addressed. First, the impact of the distance metrics, comparing performances obtained with different metrics is studied: the minim
Externí odkaz:
https://doaj.org/article/3d08c208c09a4e37bae1ad67f708456f
Publikováno v:
IET Computer Vision, Vol 12, Iss 2, Pp 138-145 (2018)
Insect detection is one of the most challenging problems of biometric image processing. This study focuses on developing a method to detect both individual insects and touching insects from trap images in extreme conditions. This method is able to co
Externí odkaz:
https://doaj.org/article/c5ab612e866849129ea4febe78b12f3b
Autor:
Sylvie Chambon, Jean-Marc Moliard
Publikováno v:
International Journal of Geophysics, Vol 2011 (2011)
In the field of noninvasive sensing techniques for civil infrastructures monitoring, this paper addresses the problem of crack detection, in the surface of the French national roads, by automatic analysis of optical images. The first contribution is
Externí odkaz:
https://doaj.org/article/0d38b825a29a4df1bd9d3d4b7104755c
Autor:
Damien, Mariyanayagam, Pierre, Gurdjos, Sylvie, Chambon, Florent, Brunet, Vincent, Charvillat
Circular markers are planar markers which offer great performances for detection and pose estimation. For an uncalibrated camera with an unknown focal length, at least the images of at least two coplanar circles are generally required to recover thei
Externí odkaz:
http://arxiv.org/abs/1804.04922
Publikováno v:
Expert Systems with Applications. 215:119344
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d0b6fe41f2aa623478ed3383b7a2b82
https://doi.org/10.1016/j.eswa.2022.119344
https://doi.org/10.1016/j.eswa.2022.119344
Autor:
Hatem A. Rashwan, Miguel Angel Garcia, Mohammed Jabreel, Sylvie Chambon, Domenec Puig, Saddam Abdulwahab
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 30:2947-2958
Estimating a depth map and, at the same time, predicting the 3D pose of an object from a single 2D color image is a very challenging task. Depth estimation is typically performed through stereo vision by following several time-consuming stages, such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abdea0df3ca63fcf8b00f2859f936f90
https://doi.org/10.1109/tcsvt.2020.2973068
https://doi.org/10.1109/tcsvt.2020.2973068
Autor:
Hatem A. Rashwan, Mohamed Abdel-Nasser, Kabir Ahmed Choudhury, Vivek Kumar Singh, Domenec Puig, Md. Mostafa Kamal Sarker, Petia Radeva, Sylvie Chambon, Forhad U H Chowdhury, Farhan Akram, Syeda Furruka Banu
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
Universidad de Barcelona
The determination of precise skin lesion boundaries in dermoscopic images using automated methods faces many challenges, most importantly, the presence of hair, inconspicuous lesion edges and low contrast in dermoscopic images, and variability in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f04f90fb2d8bb2bc5dd44261655158f4
http://hdl.handle.net/2445/184577
http://hdl.handle.net/2445/184577
Autor:
Petia Radeva, Syeda Furruka Banu, Md. Mostafa Kamal Sarker, Yasmine Makhlouf, Sylvie Chambon, Domenec Puig
Publikováno v:
Electronics Letters
Sarker, M M K, Makhlouf, Y, Banu, S F, Chambon, S, Radeva, P & Puig, D 2020, ' Web-based efficient dual attention networks to detect COVID-19 from X-ray images ', Electronics Letters . https://doi.org/10.1049/el.2020.1962
Sarker, M M K, Makhlouf, Y, Banu, S F, Chambon, S, Radeva, P & Puig, D 2020, ' Web-based efficient dual attention networks to detect COVID-19 from X-ray images ', Electronics Letters . https://doi.org/10.1049/el.2020.1962
Rapid and accurate detection of COVID-19 is a crucial step to control the virus For this purpose, the authors designed a web-based COVID-19 detector using efficient dual attention networks, called ‘EDANet’ The EDANet architecture is based on inve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c12805a1cd30697706e2c48d2be2ca89
Autor:
Sébastien Barsotti, Sylvie Chambon, Christian Lubat, Hatem A. Rashwan, Mohammed Chafik Bakkay
Publikováno v:
IET Computer Vision
IET Computer Vision, IET, 2018, 12 (2), pp.138-145. ⟨10.1049/iet-cvi.2017.0086⟩
IET Computer Vision, IET, 2018, 12 (2), pp.138-145. ⟨10.1049/iet-cvi.2017.0086⟩
International audience; Insect detection is one of the most challenging problems of biometric image processing. This study focuses on developing a method to detect both individual insects and touching insects from trap images in extreme conditions. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::590db78b4ac2a443b971c63a63e77185
https://doi.org/10.1049/iet-cvi.2017.0086
https://doi.org/10.1049/iet-cvi.2017.0086
Publikováno v:
ICIP
Proceedings of ICIP 2019
IEEE International Conference on Image Processing (ICIP 2019)
IEEE International Conference on Image Processing (ICIP 2019), Sep 2019, Taipei, Taiwan. pp.994-998
Proceedings of ICIP 2019
IEEE International Conference on Image Processing (ICIP 2019)
IEEE International Conference on Image Processing (ICIP 2019), Sep 2019, Taipei, Taiwan. pp.994-998
International audience; We present an approach for ranking a collection of videos with overlapping fields of view. The ranking depends on how they allow to visualize as best as possible, i.e. with significant details, a trajectory query drawn in one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40711dc7718e7ae6d34cae5fb81fb7b7
https://oatao.univ-toulouse.fr/24917/
https://oatao.univ-toulouse.fr/24917/