SuperPoint features in endoscopy
Conference paper
Leon Barbed, O., Chadebecq, F., Morlana, J., Montiel, J. and Murillo, A. 2022. SuperPoint features in endoscopy. Manfredi, L., Ahmadi, S., Bronstein, M., Kazi, A., Lomanto, D., Mathew, A., Magerand, L., Mullakaeva, K., Papiez, B., Taylor, R. and Trucco, E. (ed.) 1st MICCAI Workshop on Imaging Systems for GI Endoscopy. Singapore 18 - 18 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-21083-9_5
Type | Conference paper |
---|---|
Title | SuperPoint features in endoscopy |
Authors | Leon Barbed, O., Chadebecq, F., Morlana, J., Montiel, J. and Murillo, A. |
Abstract | There is often a significant gap between research results and applicability in routine medical practice. This work studies the performance of well-known local features on a medical dataset captured during routine colonoscopy procedures. Local feature extraction and matching is a key step for many computer vision applications, specially regarding 3D modelling. In the medical domain, handcrafted local features such as SIFT, with public pipelines such as COLMAP, are still a predominant tool for this kind of tasks. We explore the potential of the well known self-supervised approach SuperPoint [4], present an adapted variation for the endoscopic domain and propose a challenging evaluation framework. SuperPoint based models achieve significantly higher matching quality than commonly used local features in this domain. Our adapted model avoids features within specularity regions, a frequent and problematic artifact in endoscopic images, with consequent benefits for matching and reconstruction results. Training code and models available https://github.com/LeonBP/SuperPointEndoscopy. |
Keywords | Deep learning; Self-supervision; Local features; Endoscopy |
Sustainable Development Goals | 3 Good health and well-being |
Middlesex University Theme | Health & Wellbeing |
Conference | 1st MICCAI Workshop on Imaging Systems for GI Endoscopy |
Proceedings Title | Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings |
Series | Lecture Notes in Computer Science |
Editors | Manfredi, L., Ahmadi, S., Bronstein, M., Kazi, A., Lomanto, D., Mathew, A., Magerand, L., Mullakaeva, K., Papiez, B., Taylor, R. and Trucco, E. |
ISSN | 0302-9743 |
Electronic | 1611-3349 |
ISBN | |
Paperback | 9783031210822 |
Electronic | 9783031210839 |
Publisher | Springer |
Place of publication | Cham |
Publication dates | |
Online | 09 Dec 2022 |
10 Dec 2022 | |
Publication process dates | |
Accepted | 2022 |
Deposited | 12 Feb 2024 |
Output status | Published |
Accepted author manuscript | File Access Level Open |
Copyright Statement | This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-031-21083-9_5. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-ma... |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-031-21083-9_5 |
Web of Science identifier | WOS:000925204900005 |
Language | English |
https://repository.mdx.ac.uk/item/z8089
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