Depth estimation in endoscopies

Colonoscopy

We are working on combining different algorithms from machine learning, computer vision and Bayesian learning to estimate depth and 3D reconstruction from monocular endoscopic images.

Papers

Javier Rodriguez-Puigvert , Víctor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardos and Javier Civera (2023) LightDepth: Single-View Depth Self-Supervision from Illumination Decline. In Proc. of the IEEE/CVF International Conference on Computer Vision (ICCV).. (Project) (PDF) (BibTeX)

Javier Rodríguez-Puigvert and David Recasens, Javier Civera and Rubén Martinez-Cantín (2022) On the Uncertain Single-View Depths in Colonoscopies. In International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2022.. (Project) (PDF) (BibTeX)