Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference.
Yuwei WuWeixiao LiuSipu RuanGregory S. ChirikjianPublished in: ECCV (27) (2022)
Keyphrases
- bayesian inference
- hierarchical bayesian
- prior information
- statistical inference
- probabilistic model
- bayesian model
- hyperparameters
- high level
- gibbs sampler
- variational inference
- weighted model counting
- prior distribution
- shape model
- particle filter
- shape primitives
- hidden variables
- probabilistic modeling
- shape features
- variational bayes
- markov chain monte carlo
- shape prior
- model selection
- bayesian models
- prior knowledge
- search space
- image segmentation