no code implementations • 6 Sep 2023 • Víctor M. Batlle, José M. M. Montiel, Pascal Fua, Juan D. Tardós
It comes from the endoscope's light sources and decays with the inverse of the squared distance to the surface.
no code implementations • ICCV 2023 • Javier Rodríguez-Puigvert, Víctor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera
However, there are scenarios, especially in medicine in the case of endoscopies, where such data cannot be obtained.
no code implementations • 9 May 2023 • Javier Morlana, Juan D. Tardós, J. M. M. Montiel
We propose a topological mapping and localization system able to operate on real human colonoscopies, despite significant shape and illumination changes.
4 code implementations • 29 Apr 2022 • Pablo Azagra, Carlos Sostres, Ángel Ferrandez, Luis Riazuelo, Clara Tomasini, Oscar León Barbed, Javier Morlana, David Recasens, Victor M. Batlle, Juan J. Gómez-Rodríguez, Richard Elvira, Julia López, Cristina Oriol, Javier Civera, Juan D. Tardós, Ana Cristina Murillo, Angel Lanas, José M. M. Montiel
Computer-assisted systems are becoming broadly used in medicine.
Medical Image Retrieval Simultaneous Localization and Mapping
no code implementations • 21 Sep 2021 • Carlos Campos, Juan D. Tardós
Our proposal does not particularize for a concrete neural network, being able to work along with the vast majority of the existing depth prediction solutions.
1 code implementation • 19 Oct 2020 • Juan J. Gómez Rodríguez, José Lamarca, Javier Morlana, Juan D. Tardós, José M. M. Montiel
Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene.
no code implementations • 15 Oct 2020 • Berta Bescos, Carlos Campos, Juan D. Tardós, José Neira
We present in this paper DynaSLAM II, a visual SLAM system for stereo and RGB-D configurations that tightly integrates the multi-object tracking capability.
31 code implementations • 23 Jul 2020 • Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M. M. Montiel, Juan D. Tardós
Compared with visual odometry systems that only use information from the last few seconds, ORB-SLAM3 is the first system able to reuse in all the algorithm stages all previous information.
Robotics
no code implementations • 12 Mar 2020 • Carlos Campos, José M. M. Montiel, Juan D. Tardós
We formulate for the first time visual-inertial initialization as an optimal estimation problem, in the sense of maximum-a-posteriori (MAP) estimation.
Robotics
no code implementations • 30 Aug 2019 • Richard Elvira, Juan D. Tardós, J. M. M. Montiel
We also show the robustness and capability of our system to deal with dynamic scenes, quantitatively in the EuRoC datasets and qualitatively in a densely populated corridor where camera occlusions and tracking losses are frequent.
no code implementations • 28 Aug 2019 • Carlos Campos, J. M. M. Montiel, Juan D. Tardós
Visual-inertial SLAM (VI-SLAM) requires a good initial estimation of the initial velocity, orientation with respect to gravity and gyroscope and accelerometer biases.
Robotics
no code implementations • 9 Apr 2015 • Dorian Gálvez-López, Marta Salas, Juan D. Tardós, J. M. M. Montiel
We present a real-time object-based SLAM system that leverages the largest object database to date.