2D to 3D Segmentation: Inclusion of Prior Information using Random Walk Kalman Filters.
Peter SomersJohannes SchüleCristina TarínOliver SawodnyPublished in: EMBC (2021)
Keyphrases
- prior information
- random walk
- kalman filter
- bayesian inference
- kalman filtering
- prior knowledge
- shape prior
- random walker
- markov chain
- directed graph
- transition probabilities
- object tracking
- transition probability matrix
- graph laplacian
- image segmentation
- flow graph
- level set
- particle filter
- machine learning
- markov random walk
- rao blackwellized particle filter
- mean shift
- global motion
- higher order
- training data
- multi db