A robust global and local mixture distance based non-rigid point set registration

@article{Yang2015ARG,
  title={A robust global and local mixture distance based non-rigid point set registration},
  author={Yang Yang and Sim Heng Ong and Kelvin Weng Chiong Foong},
  journal={Pattern Recognition},
  year={2015},
  volume={48},
  pages={156-173}
}
We present a robust global and local mixture distance (GLMD) based non-rigid point set registration method which consists of an alternating two-step process: correspondence estimation and transformation updating. We first define two distance features for measuring global and local structural differences between two point sets, respectively. The two distances are then combined to form a GLMD based cost matrix which provides a flexible way to estimate correspondences by minimizing global or local… CONTINUE READING

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