Hierarchical Framework for Shape Correspondence

@inproceedings{Raviv2012HierarchicalFF,
  title={Hierarchical Framework for Shape Correspondence},
  author={Dan Raviv and Anastasia Dubrovina and Ron Kimmel},
  year={2012}
}
Detecting similarity between non-rigid shapes is one of the fundamental problems in computer vision. In order to measure the similarity the shapes must first be aligned. As opposite to rigid alignment that can be parameterized using a small number of unknowns representing rotations, reflections and translations, non-rigid alignment is not easily parameterized. Majority of the methods addressing this problem boil down to a minimization of a certain distortion measure. The complexity of a… CONTINUE READING
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