Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maria Leyva-Vallina"'
Autor:
Maria Leyva-Vallina, Nicola Strisciuglio, Manuel Lopez Antequera, Radim Tylecek, Michael Blaich, Nicolai Petkov
Publikováno v:
IEEE Access, Vol 7, Pp 52277-52287 (2019)
Place recognition can be achieved by identifying whether a pair of images (a labeled reference image and a query image) depict the same place, regardless of appearance changes due to different viewpoints or lighting conditions. It is an important com
Externí odkaz:
https://doaj.org/article/9436b62c43194789bbec29d8646f46bd
Autor:
Nicolai Petkov, Petia Radeva, Domenec Puig, Md. Mostafa Kamal Sarker, Estefanía Talavera Martínez, Maria Leyva-Vallina
Publikováno v:
IEEE Journal of Biomedical and Health Informatics, 24(3):8735865, 866-877. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics
Recent studies have shown that the environment where people eat can affect their nutritional behavior [1]. In this paper, we provide automatic tools for personalized analysis of a person's health habits by the examination of daily recorded egocentric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20247d5411eabd842aa37a1bce82f1cb
https://doi.org/10.1109/JBHI.2019.2922390
https://doi.org/10.1109/JBHI.2019.2922390
Autor:
Nicolai Petkov, Radim Tylecek, Michael Blaich, Nicola Strisciuglio, Manuel Lopez Antequera, Maria Leyva-Vallina
Publikováno v:
IEEE Access, Vol 7, Pp 52277-52287 (2019)
IEEE Access, 7:8698240, 52277-52287. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
IEEE Access, 7:8698240, 52277-52287. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Place recognition can be achieved by identifying whether a pair of images (a labeled reference image and a query image) depict the same place, regardless of appearance changes due to different viewpoints or lighting conditions. It is an important com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a9c4945b3712efec5d4de4f114352c
https://doi.org/10.1109/ACCESS.2019.2910150
https://doi.org/10.1109/ACCESS.2019.2910150
Publikováno v:
IEEE Access, Vol 7, Pp 66157-66166 (2019)
IEEE Access, 7, 66157-66166. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
IEEE Access, 7, 66157-66166. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
COSFIRE filters are an effective means for detecting and localizing visual patterns. In contrast to a convolutional neural network (CNN), such a filter can be configured by presenting a single training example and it can be applied on images of any s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc222b86b79803b86b9c563e151b0f86
https://hdl.handle.net/10668/18969
https://hdl.handle.net/10668/18969
Publikováno v:
2018 IEEE International Work Conference on Bioinspired Intelligence (IWOBI)
IWOBI
2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018-Proceedings
IWOBI
2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018-Proceedings
In this paper, we present an outdoor monocular camera localization system based on artificial markers and test its performance in one of the test gardens of the TrimBot2020 project, in Wageningen. We use ArUco markers to construct a map of the enviro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1eb253b8064ba1eff6c302a29fe64ac2