Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Yalin Bastanlar"'
Publikováno v:
ACS Omega, Vol 9, Iss 46, Pp 46117-46128 (2024)
Externí odkaz:
https://doaj.org/article/7c77473a1a204e1eb2c31fcb2357562a
Autor:
Ibrahim Cinaroglu, Yalin Bastanlar
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 35, Iss , Pp 101098- (2022)
Vision based solutions for the localization of vehicles have become popular recently. In this study, we employ an image retrieval based visual localization approach, in which database images are kept with GPS coordinates and the location of the retri
Externí odkaz:
https://doaj.org/article/19c3d8aa14cf42d496d668c9a282c086
Publikováno v:
IET Computer Vision, Vol 14, Iss 7, Pp 493-504 (2020)
Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of these sensors frequently give
Externí odkaz:
https://doaj.org/article/b8f8aca293f7471c92e3503ec625dbe5
Autor:
Yalin Bastanlar
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 13, Iss 3 (2014)
Estimation of camera motion from a given image sequence is a common task for multi-view 3D computer vision applications. Salient features (lines, corners etc.) in the images are used to estimate the motion of the camera, also called egomotion. This e
Externí odkaz:
https://doaj.org/article/58513ecc69314c9cb695ddaa20a46b55
Autor:
Yagiz Nalcakan, Yalin Bastanlar
Publikováno v:
Signal, Image and Video Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74110cf5a92693c9bb232b2ff5afa6b9
https://doi.org/10.1007/s11760-023-02512-3
https://doi.org/10.1007/s11760-023-02512-3
Autor:
Yalin Bastanlar, Semih Orhan
Publikováno v:
Artificial Intelligence Annual Volume 2022 ISBN: 9781837689460
Artificial Intelligence Annual Volume 2022
Artificial Intelligence Annual Volume 2022
Although its origins date a few decades back, contrastive learning has recently gained popularity due to its achievements in self-supervised learning, especially in computer vision. Supervised learning usually requires a decent amount of labeled data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fdc2b5d195afcf78c292b55a68cb5c9
https://doi.org/10.5772/intechopen.104785
https://doi.org/10.5772/intechopen.104785
Publikováno v:
IET Computer Vision. 14:493-504
Hyperspectral imaging systems provide dense spectral information on the scene under investigation by collecting data from a high number of contiguous bands of the electromagnetic spectrum. The low spatial resolutions of these sensors frequently give
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c582be42a083304a945ce23db4e4746
https://doi.org/10.1049/iet-cvi.2019.0784
https://doi.org/10.1049/iet-cvi.2019.0784
Autor:
Semih Orhan, Yalin Bastanlar
Omnidirectional cameras are capable of providing $$360^{\circ }$$ field-of-view in a single shot. This comprehensive view makes them preferable for many computer vision applications. An omnidirectional view is generally represented as a panoramic ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d2568f4a0ee7c2dc8f945ced71fb43
https://aperta.ulakbim.gov.tr/record/238580
https://aperta.ulakbim.gov.tr/record/238580
Autor:
Semih Orhan, Yalin Bastanlar
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
In this work, we focus on a localization technique that is based on image retrieval. In this technique, database images are kept with GPS coordinates and the geographic location of the retrieved database image serves as an approximate position of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::decaa1565054dcc2d42bf9feae332cb1
https://doi.org/10.1109/iccvw54120.2021.00198
https://doi.org/10.1109/iccvw54120.2021.00198
Publikováno v:
Machine Vision and Applications, 30(4), 645. Springer Verlag
Omnidirectional cameras cover more ground than perspective cameras, at the expense of resolution. Their comprehensive field of view makes omnidirectional cameras appealing for security and ambient intelligence applications. Person detection is usuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c2302e32c855734a8c960876c18e528
https://doi.org/10.1007/s00138-019-01016-w
https://doi.org/10.1007/s00138-019-01016-w