A three-dimensional pattern recognition localization system based on a Bayesian graphical model.
Abdulraqeb AlhammadiFazirulhisyam HashimMohd Fadlee A. RasidSaddam AlraihPublished in: Int. J. Distributed Sens. Networks (2020)
Keyphrases
- graphical models
- pattern recognition
- three dimensional
- bayesian networks
- statistical inference
- belief propagation
- probabilistic model
- random variables
- probabilistic inference
- probabilistic graphical models
- approximate inference
- computer vision
- map inference
- structure learning
- conditional random fields
- belief networks
- machine learning
- image processing
- multi view
- markov networks
- exact inference
- bayesian inference
- maximum likelihood
- image sequences
- conditional dependencies
- posterior probability
- factor graphs
- d objects
- conditional independence
- gaussian graphical models
- graph structure
- fuzzy sets
- probability distribution
- hidden variables
- motion tracking
- parameter learning
- conditional probabilities
- human body
- loopy belief propagation
- hidden markov models
- video sequences