Estimates the position and orientation of robotic surgical tools in real time from ordinary intraoperative video, without markers. Reliable tool tracking underpins surgical skill assessment, context-aware assistance and the automation of simple surgical tasks, and this work targets plain RGB video rather than depth cameras that need special hardware.
Publications
1
Markerless Real-Time AI Tracking of Robotic Surgical Tool Pose from Intraoperative Video Thesis
A. H. M. H. Ibrahim
Bachelor's thesis (Lab Project), Kyoto University of Advanced Science, Kyoto, Japan · Advisor: S. Nisar
