1 code implementation • 20 Jul 2023 • Anita Rau, Sophia Bano, Yueming Jin, Pablo Azagra, Javier Morlana, Edward Sanderson, Bogdan J. Matuszewski, Jae Young Lee, Dong-Jae Lee, Erez Posner, Netanel Frank, Varshini Elangovan, Sista Raviteja, Zhengwen Li, Jiquan Liu, Seenivasan Lalithkumar, Mobarakol Islam, Hongliang Ren, José M. M. Montiel, Danail Stoyanov
We show that depth prediction in virtual colonoscopy is robustly solvable, while pose estimation remains an open research question.
no code implementations • 9 May 2023 • Javier Morlana, Juan D. Tardós, J. M. M. Montiel
We propose a topological mapping and localization system able to operate on real human colonoscopies, despite significant shape and illumination changes.
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
1 code implementation • 13 Apr 2022 • Javier Morlana, J. M. M. Montiel
We propose a compact pipeline to unify all the steps of Visual Localization: image retrieval, candidate re-ranking and initial pose estimation, and camera pose refinement.
1 code implementation • 19 Oct 2020 • Juan J. Gómez Rodríguez, José Lamarca, Javier Morlana, Juan D. Tardós, José M. M. Montiel
Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene.