Multilevel statistical shape models: A new framework for modeling hierarchical structures

@article{Lecron2012MultilevelSS,
  title={Multilevel statistical shape models: A new framework for modeling hierarchical structures},
  author={Fabian Lecron and Jonathan Boisvert and Mohammed Benjelloun and Hubert Labelle and Sa{\"i}d Mahmoudi},
  journal={2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)},
  year={2012},
  pages={1284-1287}
}
Statistical shape models are commonly used in various applications of computer vision. Nevertheless, these models are not well adapted to hierarchical structures. This paper proposes a solution to this problem by presenting a general framework to build multilevel statistical shape models. Based on multilevel component analysis, the idea is to decompose the data into a within-individual and a between-individual component. As a result, several sub-models are deduced and can be treated separately… CONTINUE READING

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