The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes

1 code implementation • 29 Jun 2023 • David Recasens, Martin R. Oswald, Marc Pollefeys, Javier Civera

Estimating camera motion in deformable scenes poses a complex and open research challenge.

6D Pose Estimation using RGBD Optical Flow Estimation +1

EndoMapper dataset of complete calibrated endoscopy procedures

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

On the Uncertain Single-View Depths in Colonoscopies

no code implementations • 16 Dec 2021 • Javier Rodríguez-Puigvert, David Recasens, Javier Civera, Rubén Martínez-Cantín

Estimating depth information from endoscopic images is a prerequisite for a wide set of AI-assisted technologies, such as accurate localization and measurement of tumors, or identification of non-inspected areas.

Continual Learning Decision Making +2

Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos using Depth Networks and Photometric Constraints

1 code implementation • 30 Mar 2021 • David Recasens, José Lamarca, José M. Fácil, J. M. M. Montiel, Javier Civera

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.