73 citations · 73 across the 5 of their papers we have counts for
5 papers
PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement
David Recasens, Robert Maier, Aljaz Bozic +4
Gaussian Splatting (GS) has emerged as an efficient approach for high-quality novel view synthesis. While early GS variants struggled to accurately model the scene's geometry, rece…
The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes
David Recasens, Martin R. Oswald, Marc Pollefeys +1
Estimating camera motion in deformable scenes poses a complex and open research challenge. Most existing non-rigid structure from motion techniques assume to observe also static sc…
EndoMapper dataset of complete calibrated endoscopy procedures
Pablo Azagra, Carlos Sostres, Ángel Ferrandez +15
Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and…
On the Uncertain Single-View Depths in Colonoscopies
Javier Rodríguez-Puigvert, David Recasens, Javier Civera +1
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 identi…
Endo-Depth-and-Motion: Reconstruction and Tracking in Endoscopic Videos using Depth Networks and Photometric Constraints
David Recasens, José Lamarca, José M. Fácil +2
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.…