Image Modeling with Position-Encoding Dynamic Trees

@article{Storkey2003ImageMW,
  title={Image Modeling with Position-Encoding Dynamic Trees},
  author={Amos J. Storkey and Christopher K. I. Williams},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2003},
  volume={25},
  pages={859-871}
}
This paper describes the Position-Encoding Dynamic Tree (PEDT). The PEDT is a probabilistic model for images which improves on the Dynamic Tree by allowing the positions of objects to play a part in the model. This increases the flexibility of the model over the Dynamic Tree and allows the positions of objects to be located and manipulated. The paper motivates and defines this form of probabilistic model using the belief network formalism. A structured variational approach for inference and… CONTINUE READING
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