X. Luo, M. Feuerstein, T. Kitasaka, K. Mori On scale invariant features and sequential Monte Carlo sampling for bronchoscope tracking SPIE Medical Imaging, Orlando, Florida, USA, February 2011 (bib)
	This paper presents an improved bronchoscope tracking method for bronchoscopic navigation using scale invariant features and sequential Monte Carlo sampling. In our approach, sequential Monte Carlo sampling is employed to recursively estimate the posterior probability densities of the bronchoscope camera motion parameters according to the observation model based on scale invariant feature-based camera motion recovery.
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