On scale invariant features and sequential Monte Carlo sampling for bronchoscope tracking

Titel:: On scale invariant features and sequential Monte Carlo sampling for bronchoscope tracking
Dokumenttyp:: Konferenzbeitrag
Autor(en):: Luo, X.; Feuerstein, M.; Kitasaka, T.; Mori, K.
Abstract:: 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.
Stichworte:: CAMP,Medicine,RegVis,ComputerAidedSurgery,MedicalImaging,SPIE,NavigatedBronchoscopy
Kongress- / Buchtitel:: SPIE Medical Imaging
Verlagsort:: Orlando, Florida, USA
Jahr:: 2011
BibTeX

Vorkommen: