Brandao, P;
Psychogyios, D;
Mazomenos, E;
Stoyanov, D;
Janatka, M;
(2021)
HAPNet: hierarchically aggregated pyramid network for real-time stereo matching.
Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
, 9
(3)
pp. 219-224.
10.1080/21681163.2020.1835561.
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Abstract
Recovering the 3D shape of the surgical site is crucial for multiple computer-assisted interventions. Stereo endoscopes can be used to compute 3D depth but computational stereo is a challenging, non-convex and inherently discontinuous optimisation problem. In this paper, we propose a deep learning architecture which avoids the explicit construction of a cost volume of similarity which is one of the most computationally costly blocks of stereo algorithms. This makes training our network significantly more efficient and avoids the needs for large memory allocation. Our method performs well, especially around regions comprising multiple discontinuities around surgical instrumentation or around complex small structures and instruments. The method compares well to the state-of-the-art techniques while taking a different methodological angle to computational stereo problem in surgical video.
| Type: | Article |
|---|---|
| Title: | HAPNet: hierarchically aggregated pyramid network for real-time stereo matching |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/21681163.2020.1835561 |
| Publisher version: | https://dx.doi.org/10.1080/21681163.2020.1835561 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Convolutional neural networks, colonoscopy, computer-aided diagnosis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10122492 |
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