| dc.creator | Benjumea, Eberto | |
| dc.creator | Sierra, Juan S. | |
| dc.creator | Meza, Jhacson | |
| dc.creator | Marrugo Hernández, Andrés Guillermo | |
| dc.date.accessioned | 2022-01-28T20:03:03Z | |
| dc.date.available | 2022-01-28T20:03:03Z | |
| dc.date.created | 2022-01-28T20:03:03Z | |
| dc.date.issued | 2021-06-16 | |
| dc.identifier | E. Roman-Rangel et al. (Eds.): MCPR 2021, LNCS 12725, pp. 345–354, 2021. Springer Nature Switzerland AG 2021
https://doi.org/10.1007/978-3-030-77004-4_33 | |
| dc.identifier | https://hdl.handle.net/20.500.12585/10421 | |
| dc.identifier | https://doi.org/10.1007/978-3-030-77004-4_33 | |
| dc.identifier | Universidad Tecnológica de Bolívar | |
| dc.identifier | Repositorio Universidad Tecnológica de Bolívar | |
| dc.description.abstract | The pose estimation of a surgical instrument is a common problem in the new needs of medical science. Many instrument tracking methods use markers with a known geometry that allows for solving the
instrument pose as detected by a camera. However, marker occlusion happens, and it hinders correct pose estimation. In this work, we propose an adaptable multi-target attachment with ArUco markers to solve
occlusion problems on tracking a medical instrument like an ultrasound probe or a scalpel. Our multi-target system allows for precise and redundant real-time pose estimation implemented in OpenCV. Encouraging
results show that the multi-target device may prove useful in the clinical setting | |
| dc.language | eng | |
| dc.publisher | Cartagena de Indias | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | |
| dc.source | Pattern Recognition - vol. 12725 | |
| dc.title | Multi-target Attachment for Surgical Instrument Tracking | |
