Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Javier Civera"'
Autor:
Pablo Azagra, Carlos Sostres, Ángel Ferrández, Luis Riazuelo, Clara Tomasini, O. León Barbed, Javier Morlana, David Recasens, Víctor M. Batlle, Juan J. Gómez-Rodríguez, Richard Elvira, Julia López, Cristina Oriol, Javier Civera, Juan D. Tardós, Ana C. Murillo, Angel Lanas, José M. M. Montiel
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manuall
Externí odkaz:
https://doaj.org/article/fac3a3a3876f4fa0b4a6511e7bb1ff1a
Akademický článek
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Autor:
Javier Civera, Clara Fernandez-Labrador, Alejandro Perez-Yus, José M. Fácil, José Jesús Guerrero, Cédric Demonceaux
Publikováno v:
IEEE Robotics and Automation Letters. 5:1255-1262
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among the most relevant ones, a major part of the state-of-the-art methods ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a979be4a091be3598b246b7142e42846
https://doi.org/10.1109/lra.2020.2967274
https://doi.org/10.1109/lra.2020.2967274
Mobile robots should be aware of their situation, comprising the deep understanding of their surrounding environment along with the estimation of its own state, to successfully make intelligent decisions and execute tasks autonomously in real environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93897145d105bc81f636d38269439df4
http://arxiv.org/abs/2202.12197
http://arxiv.org/abs/2202.12197
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f715261a61fcddd0c5ca1879692488
https://doi.org/10.1007/978-3-031-16437-8_13
https://doi.org/10.1007/978-3-031-16437-8_13
Publikováno v:
IEEE Robotics and Automation Letters
Vallone, A, Warburg, F, Hansen, H, Hauberg, S & Civera, J 2022, ' Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization ', IEEE Robotics and Automation Letters, vol. 7, no. 4, 9811266, pp. 9207-9215 . https://doi.org/10.1109/LRA.2022.3187491
Vallone, A, Warburg, F, Hansen, H, Hauberg, S & Civera, J 2022, ' Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization ', IEEE Robotics and Automation Letters, vol. 7, no. 4, 9811266, pp. 9207-9215 . https://doi.org/10.1109/LRA.2022.3187491
Place recognition and visual localization are particularly challenging in wide baseline configurations. In this paper, we contribute with the \emph{Danish Airs and Grounds} (DAG) dataset, a large collection of street-level and aerial images targeting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93c1c2bd2ddaf5c28257d32ea6e2772c
Autor:
Javier Civera, Javier Tirado
In this paper we propose a method that estimates the $SE(3)$ continuous trajectories (orientation and translation) of the dynamic rigid objects present in a scene, from multiple RGB-D views. Specifically, we fit the object trajectories to cumulative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa959a1fbb0e80b5b69d02a6b4eac248
Autor:
Javier Civera, Seong Hun Lee
Publikováno v:
IEEE Robotics and Automation Letters. 4:399-406
We propose a novel semi-direct approach for monocular simultaneous localization and mapping (SLAM) that combines the complementary strengths of direct and feature-based methods. The proposed pipeline loosely couples direct odometry and feature-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ec47541c94d49b8572ded8904af39b9
https://doi.org/10.1109/lra.2018.2889156
https://doi.org/10.1109/lra.2018.2889156
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems
Estimating a scene reconstruction and the camera motion from in-body videos is challenging due to several factors, e.g. the deformation of in-body cavities or the lack of texture. In this paper we present Endo-Depth-and-Motion , a pipeline that estim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d98df4fc4c9c9111587ecbb1b31a505b