ArthroSLAM is the first camera localisation approach in arthroscopy and it overcomes the tracking challenge in an arthroscopic cavity by introducing sensor fusion with external camera and robotic odometry. Our best achieved accuracy is 7.7 mm/0.6 °, while ArthroSLAM's was 1.4 mm/0.3 °.
Jul 4, 2021
Jul 4, 2021 · This paper presents the single image deep learning based camera localisation method for orthopedic surgery. METHODS : The approach combines ...
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Methods The approach combines image information, deep learning techniques and bone-tracking data to estimate camera poses relative to the bone-markers. We have ...
In this paper, we propose and demonstrate for the first time a visual Simultaneous Localisation and Mapping (SLAM) system, termed ArthroSLAM, capable of ...
This dexterous camera can collect multiple views of the same features, which is beneficial for many applications, including visual inspection, scanning and 3D ...
Bibliographic details on Visual Localisation for Knee Arthroscopy.
The fly-through view provides surgeons with navigating the arthroscope in the internal anatomical structures using a virtual camera perspective. The global ...
Missing: Localisation | Show results with:Localisation
The posterior synovium is visual- ized by means of transcondylar notch views to identify hid- den foci of pigmented villonodular synovitis in the posterior.
This paper proposes and demonstrates for the first time a visual Simultaneous Localisation and Mapping (SLAM) system, termed ArthroSLAM, capable of robustly ...
Vision based navigation and localization are the fundamental problems of determining pose and location of the camera and subsequently drive robots towards the ...
Missing: Localisation | Show results with:Localisation