Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gabriele Berton"'
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Visual place recognition (VPR) is a popular computer vision task aimed at recognizing the geographic location of a visual query, usually within a tolerance of a few meters. Modern approaches address VPR from an image retrieval standpoint using a kNN
Externí odkaz:
https://doaj.org/article/2be6eaf0a502444b922e48ab06dd62c5
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
We tackle the task of cross-domain visual geo-localization, where the goal is to geo-localize a given query image against a database of geo-tagged images, in the case where the query and the database belong to different visual domains. In particular,
Externí odkaz:
https://doaj.org/article/e218e7a6218147f2b3bbcb1672de427a
Visual Geo-localization (VG) is the task of estimating the position where a given photo was taken by comparing it with a large database of images of known locations. To investigate how existing techniques would perform on a real-world city-wide VG ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b82a8fdf894140671f97442fde06196
http://arxiv.org/abs/2204.02287
http://arxiv.org/abs/2204.02287
In robotics, Visual Place Recognition is a continuous process that receives as input a video stream to produce a hypothesis of the robot's current position within a map of known places. This task requires robust, scalable, and efficient techniques fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0484f56ff7826024a4d0d74754ed4e37
Autor:
Gabriele Berton, Riccardo Mereu, Gabriele Trivigno, Carlo Masone, Gabriela Csurka, Torsten Sattler, Barbara Caputo
In this paper, we propose a new open-source benchmarking framework for Visual Geo-localization (VG) that allows to build, train, and test a wide range of commonly used architectures, with the flexibility to change individual components of a geo-local
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2cab5a0d5c0e9316a7916d801287104b
http://hdl.handle.net/11583/2970714
http://hdl.handle.net/11583/2970714
Publikováno v:
Image Analysis and Processing – ICIAP 2022 ISBN: 9783031064296
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::686f5c0ca6accc4a691e3d8aee9da975
https://doi.org/10.1007/978-3-031-06430-2_38
https://doi.org/10.1007/978-3-031-06430-2_38
In this paper we propose a novel method for image matching based on dense local features and tailored for visual geolocalization. Dense local features matching is robust against changes in illumination and occlusions, but not against viewpoint shifts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43122dbcc6d84c9786a905de306018c2
http://arxiv.org/abs/2109.09827
http://arxiv.org/abs/2109.09827