A hierarchical statistical framework for the segmentation of deformable objects in image sequences

@inproceedings{Kervrann1994AHS,
  title={A hierarchical statistical framework for the segmentation of deformable objects in image sequences},
  author={Charles Kervrann and Fabrice Heitz},
  booktitle={CVPR},
  year={1994}
}
In this paper, we propose a new statistical framework for modeling and extracting 2D moving deformable objects from image sequences. The object representation relies on a hierarchical description of the deformations applied to a computed template. Global deformations are modeled using a Karhunen Loeve expansion of the distorsions observed on a representative population. Local deformations are modeled using ((rst-order) Markov processes. The statistical hierarchical model is used to represent… CONTINUE READING
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