CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
A tutorial on particle filters for online nonlinear/non-GaussianBayesian tracking
IEEE Transactions on Signal Processing
An illumination model of the trachea appearance in videobronchoscopy images
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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A novel bronchoscope tracking prototype was designed and validated for bronchoscopic navigation. We construct a novel mouth- or nose-piece bronchoscope model to directly measure the movement information of a bronchoscope outside of a patient's body. Fusing the measured movement information based on sequential Monte Carlo (SMC) sampler, we exploit accurate and robust intra-operative alignment between the pre- and intra-operative image data for augmenting surgical bronchoscopy. We validate our new prototype on phantom datasets. The experimental results demonstrate that our proposed prototype is a promising approach to navigate a bronchoscope beyond EMT systems.