Search Results for author: Juan D. Tardos

Found 6 papers, 4 papers with code

Photometric single-view dense 3D reconstruction in endoscopy

2 code implementations19 Apr 2022 Victor M. Batlle, J. M. M. Montiel, Juan D. Tardos

We validate our method on simulated colonoscopies, obtaining a mean error of 7% on depth estimation, which is below 3 mm on average.

3D Reconstruction Depth Estimation

Tracking monocular camera pose and deformation for SLAM inside the human body

no code implementations18 Apr 2022 Juan J. Gomez Rodriguez, J. M. M Montiel, Juan D. Tardos

Monocular SLAM in deformable scenes will open the way to multiple medical applications like computer-assisted navigation in endoscopy, automatic drug delivery or autonomous robotic surgery.

Direct and Sparse Deformable Tracking

no code implementations15 Sep 2021 Jose Lamarca, Juan J. Gomez Rodriguez, Juan D. Tardos, J. M. M. Montiel

Current approaches use a template-based deformable tracking to recover the camera pose and the deformation of the map.

Position

ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras

6 code implementations20 Oct 2016 Raul Mur-Artal, Juan D. Tardos

We present ORB-SLAM2 a complete SLAM system for monocular, stereo and RGB-D cameras, including map reuse, loop closing and relocalization capabilities.

Simultaneous Localization and Mapping Visual Odometry

Visual-Inertial Monocular SLAM with Map Reuse

13 code implementations19 Oct 2016 Raul Mur-Artal, Juan D. Tardos

In recent years there have been excellent results in Visual-Inertial Odometry techniques, which aim to compute the incremental motion of the sensor with high accuracy and robustness.

Simultaneous Localization and Mapping

ORB-SLAM: a Versatile and Accurate Monocular SLAM System

2 code implementations3 Feb 2015 Raul Mur-Artal, J. M. M. Montiel, Juan D. Tardos

This paper presents ORB-SLAM, a feature-based monocular SLAM system that operates in real time, in small and large, indoor and outdoor environments.

Simultaneous Localization and Mapping

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