3 papers
cs.CV2026
C3VD-DEFCOL: A Deformable Colonoscopy Dataset with Time-Resolved 3D Ground Truth and Realistic Appearance
Ethan Luk, Mayank V. Golhar, Anthony Song +5
3D reconstruction could improve colonoscopy by estimating mucosal coverage and alerting clinicians to missed regions during screening. However, algorithm development is limited as…
cs.CV2025
EndoMetric: Near-Light Monocular Metric Scale Estimation in Endoscopy
Raúl Iranzo, VÃctor M. Batlle, Juan D. Tardós +1
Geometric reconstruction and SLAM with endoscopic images have advanced significantly in recent years. In most medical fields, monocular endoscopes are employed, and the algorithms…
cs.CV2025
LightNeuS: Neural Surface Reconstruction in Endoscopy using Illumination Decline
VÃctor M. Batlle, José M. M. Montiel, Pascal Fua +1
We propose a new approach to 3D reconstruction from sequences of images acquired by monocular endoscopes. It is based on two key insights. First, endoluminal cavities are watertigh…