Robust point matching for two-dimensional nonrigid shapes

  title={Robust point matching for two-dimensional nonrigid shapes},
  author={Yefeng Zheng and David S. Doermann},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  pages={1561-1566 Vol. 2}
Recently, nonrigid shape matching has received more and more attention. For nonrigid shapes, most neighboring points cannot move independently under deformation due to physical constraints. Furthermore, the rough structure of a shape should be preserved under deformation otherwise even people cannot match shapes reliably. Therefore, though the absolute distance between two points may change significantly, the neighborhood of a point is well preserved in general. Based on this observation, we… CONTINUE READING
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