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Lecture Notes in Computer Science
Instrument localization and tracking is an important challenge for advanced computer assisted techniques in minimally invasive surgery and image-based solutions to instrument localization can provide a non-invasive, low cost solution. In this study, we present a novel algorithm capable of recovering the 3D pose of laparoscopic surgical instruments combining constraints from a classification algorithm, multiple point features, stereo views (when available) and a linear motion model to robustlydoi:10.1007/978-3-319-07521-1_1 fatcat:ftnjciancrdvzodweky6iul7xy