Feature Correspondence: A Markov Chain Monte Carlo Approach.
Frank DellaertSteven M. SeitzSebastian ThrunCharles E. ThorpePublished in: NIPS (2000)
Keyphrases
- markov chain monte carlo
- feature correspondences
- coarse to fine
- multiple views
- structure from motion
- posterior distribution
- markov chain
- bundle adjustment
- generative model
- parameter estimation
- camera calibration
- particle filter
- posterior probability
- bayesian inference
- approximate inference
- geometric constraints
- monte carlo
- mahalanobis distance
- multiscale
- particle filtering
- parametric models
- multiple images
- bayesian networks
- multi view
- simulated annealing
- state space
- probability distribution
- multiresolution
- viewpoint
- semi supervised
- graphical models
- d objects
- latent variables
- active learning
- reinforcement learning
- computer vision