Iterative Most Likely Oriented Point Registration

@article{Billings2014IterativeML,
  title={Iterative Most Likely Oriented Point Registration},
  author={Seth D. Billings and Russell H. Taylor},
  journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention},
  year={2014},
  volume={17 Pt 1},
  pages={178-85}
}
A new algorithm for model based registration is presented that optimizes both position and surface normal information of the shapes being registered. This algorithm extends the popular Iterative Closest Point (ICP) algorithm by incorporating the surface orientation at each point into both the correspondence and registration phases of the algorithm. For the correspondence phase an efficient search strategy is derived which computes the most probable correspondences considering both position and… CONTINUE READING
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