Zobrazeno 1 - 10
of 133
pro vyhledávání: '"M M, Montiel"'
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
Publikováno v:
IEEE Transactions on Robotics. 37:1874-1890
This paper presents ORB-SLAM3, the first system able to perform visual, visual-inertial and multi-map SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye lens models. The first main novelty is a feature-based tightly-integrated
Autor:
M. C. Campanario Pérez, E. Páez Romero, M. Urbano Labajos, M. M. Montiel Campos, A. Vioque Fernández
Publikováno v:
RED Visual: Revista Especializada en Discapacidad Visual. :284-293
espanolComo profesionales de la educacion, queremos mostrar el lado positivo de las cosas y, de este modo, ensenar a nuestro alumnado con discapacidad visual a encontrar oportunidades, estrategias para superar la dificultad, con el fin de pensar en u
Publikováno v:
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis ISBN: 9783031210822
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3410a33d7898578e93ed282a5a3c0f3c
https://doi.org/10.1007/978-3-031-21083-9_5
https://doi.org/10.1007/978-3-031-21083-9_5
Publikováno v:
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
instname
Photometric bundle adjustment, PBA, accurately estimates geometry from video. However, current PBA systems have a temporary map that cannot manage scene reobservations. We present, DSM, a full monocular visual SLAM based on PBA. Its persistent map ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c52eb0d73849b24605c0eaca1831f4a
http://zaguan.unizar.es/record/106633
http://zaguan.unizar.es/record/106633
Publikováno v:
ICRA
IEEE Inter. Conf. on Robotics and Automation
2021 IEEE International Conference on Robotics and Automation (ICRA)
IEEE Inter. Conf. on Robotics and Automation
2021 IEEE International Conference on Robotics and Automation (ICRA)
Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene. In this work we present Semi-Direct DefSLAM (SD-DefSLAM), a novel monocular deformable SLAM method able to map highly deformi
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
Publikováno v:
ICRA
We formulate for the first time visual-inertial initialization as an optimal estimation problem, in the sense of maximum-a-posteriori (MAP) estimation. This allows us to properly take into account IMU measurement uncertainty, which was neglected in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccfd71ba64bccc968ee1ae78d8f65fc5
http://arxiv.org/abs/2003.05766
http://arxiv.org/abs/2003.05766
Autor:
Jose Lamarca, J. M. M. Montiel
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110086
ECCV Workshops (1)
ECCV Workshops (1)
The current SLAM algorithms cannot work without assuming rigidity. We propose the first real-time tracking thread for monocular VSLAM systems that manages deformable scenes. It is based on top of the Shape-from-Template (SfT) methods to code the scen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3cfe3fab9847253d46e9aa205c73f3
https://doi.org/10.1007/978-3-030-11009-3_45
https://doi.org/10.1007/978-3-030-11009-3_45
Publikováno v:
IROS
We propose ORBSLAM-Atlas, a system able to handle an unlimited number of disconnected sub-maps, that includes a robust map merging algorithm able to detect sub-maps with common regions and seamlessly fuse them. The outstanding robustness and accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb501bca153ab545d77bcc10139b6e7