Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach.
Ali SiahkoohiGabrio RizzutiFelix J. HerrmannPublished in: CoRR (2020)
Keyphrases
- particle filter
- bayesian methods
- proposal distribution
- live cell imaging
- belief nets
- data driven
- decision theory
- real time
- visual tracking
- kalman filter
- object tracking
- prior knowledge
- image processing
- imaging systems
- bayesian estimation
- bayesian formulation
- gaussian processes
- bayesian inference
- particle filtering
- medical imaging
- uncertain data
- posterior probability
- posterior distribution
- fully automatic
- semi automatic
- bayesian model
- maximum likelihood
- dempster shafer
- computer vision
- image analysis
- moving platform
- accurate localization
- image guided surgery
- high resolution
- mr imaging
- prior distribution
- robust optimization
- model selection
- mean shift
- moving target
- belief functions
- maximum a posteriori
- prior information