Learning How To Robustly Estimate Camera Pose in Endoscopic Videos

Autor: Hayoz, Michel, Hahne, Christopher, Gallardo, Mathias, Candinas, Daniel, Kurmann, Thomas, Allan, Maximilian, Sznitman, Raphael

Purpose: Surgical scene understanding plays a critical role in the technology stack of tomorrow's intervention-assisting systems in endoscopic surgeries. For this, tracking the endoscope pose is a key component, but remains challenging due to illumin

Externí odkaz: http://arxiv.org/abs/2304.08023

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Learning how to robustly estimate camera pose in endoscopic videos.

Autor: Hayoz M; ARTORG Center, University of Bern, Bern, Switzerland. michel.hayoz@unibe.ch., Hahne C; ARTORG Center, University of Bern, Bern, Switzerland., Gallardo M; ARTORG Center, University of Bern, Bern, Switzerland., Candinas D; Department of Visceral Surgery and Medicine, Inselspital, Bern, Switzerland., Kurmann T; Applied Research, Intuitive Surgical, Sunnyvale, USA., Allan M; Applied Research, Intuitive Surgical, Sunnyvale, USA., Sznitman R; ARTORG Center, University of Bern, Bern, Switzerland.

Publikováno v: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2023 Jul; Vol. 18 (7), pp. 1185-1192. Date of Electronic Publication: 2023 May 15.