Junction detection and grouping with probabilistic edge models and Bayesian A

@article{Cazorla2002JunctionDA,
  title={Junction detection and grouping with probabilistic edge models and Bayesian A},
  author={Miguel Cazorla and Francisco Escolano and Domingo Gallardo and Ram{\'o}n Rizo Aldeguer},
  journal={Pattern Recognition},
  year={2002},
  volume={35},
  pages={1869-1881}
}
In this paper, we propose and integrate two Bayesian methods, one of them for junction detection, and the other one for junction grouping. Our junction detection method relies on a probabilistic edge model and a log-likelihood test. Our junction grouping method relies on 6nding connecting paths between pairs of junctions. Path searching is performed by applying a Bayesian A∗ algorithm. Such algorithm uses both an intensity and geometric model for de6ning the rewards of a partial path and prunes… CONTINUE READING

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