Skip navigation
Skip navigation

Tracking by Detection for Interactive Image Augmentation in Laparoscopy

Kim, Jae-Hak; Bartoli, A; Collins, Toby; Hartley, Richard


We present a system for marking, tracking and visually augmenting a deformable surgical site by the robust automatic detection of natural landmarks (image features) in laparoscopic surgery. In our system, the surgeon first selects a frame containing an organ of interest, and this is used by our system both to detect every instance of the organ in a laparoscopic video feed, and to recover the nonrigid deformations. The system then augments the video with customizable visual information such as...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Lecture Notes in Computer Science (LNCS)
DOI: 10.1007/978-3-642-31340-0_26


File Description SizeFormat Image
01_Kim_Tracking_by_Detection_for_2012.pdf1.05 MBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  27 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator