March 29, 2024, 4:45 a.m. | Beerend G. A. Gerats, Jelmer M. Wolterink, Seb P. Mol, Ivo A. M. J. Broeders

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.19265v1 Announce Type: new
Abstract: Laparoscopic video tracking primarily focuses on two target types: surgical instruments and anatomy. The former could be used for skill assessment, while the latter is necessary for the projection of virtual overlays. Where instrument and anatomy tracking have often been considered two separate problems, in this paper, we propose a method for joint tracking of all structures simultaneously. Based on a single 2D monocular video clip, we train a neural field to represent a continuous …

abstract arxiv assessment cs.cv fields projection tracking type types video virtual

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