Object Perception: Generative Image Models and Bayesian Inference.
Daniel J. KerstenPublished in: Biologically Motivated Computer Vision (2002)
Keyphrases
- bayesian inference
- probabilistic model
- object models
- prior information
- image features
- gibbs sampler
- input image
- random fields
- single image
- three dimensional objects
- variational inference
- multiple objects
- image segmentation
- hidden variables
- generative model
- bayesian models
- image regions
- probabilistic modeling
- bayesian framework
- object parts
- hyperparameters
- bayesian model
- prior distribution
- prior knowledge
- statistical inference
- bounding box
- target object
- model selection
- d objects
- markov chain monte carlo
- segmentation method
- topic models
- hierarchical bayesian