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A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy

Marcel Tella, Pankaj Daga, Francois Chadebecq, Stephen Thompson, Dzhoshkun I. Shakir, George Dwyer, Ruwan Wimalasundera, Jan Deprest, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)  
We introduce a probabilistic temporal model that incorporates electromagnetic and visual tracking data to achieve a robust mosaic with reduced drift.  ...  We show an improvement in performance in terms of robustness as well as a reduction of the drift in comparison to state-of-the-art methods in synthetic, phantom and ex vivo datasets.  ...  We would also like to thank Efthymios Maneas for the contribution of the ex vivo placenta.  ... 
doi:10.1109/cvprw.2016.72 dblp:conf/cvpr/TellaDCTSDWDSVO16 fatcat:xp5gv2xzvnaepnluiqfp3h4h3i