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The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

  • Updated Sep 2, 2021
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zhxd050946
zhxd050946 commented Nov 10, 2020

The cylinder fitting with RANSAC method is very unstable. There are some ways to improve the performance of RANSAC:

  1. add or compute the normal components to the point cloud data.
  2. take the RANSAC result as an initial guess, optimize the cylinder coefficents with the inlier points and normals using nonlinear optimization algorithms, such as LM algorithm.
  3. use MSAC or MLESAC instead of RAN

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