Deterministic Fitting of Multiple Structures Using Iterative MaxFS with Inlier Scale Estimation

@article{Lee2013DeterministicFO,
  title={Deterministic Fitting of Multiple Structures Using Iterative MaxFS with Inlier Scale Estimation},
  author={Kwang Hee Lee and Sang Wook Lee},
  journal={2013 IEEE International Conference on Computer Vision},
  year={2013},
  pages={41-48}
}
We present an efficient deterministic hypothesis generation algorithm for robust fitting of multiple structures based on the maximum feasible subsystem (MaxFS) framework. Despite its advantage, a global optimization method such as MaxFS has two main limitations for geometric model fitting. First, its performance is much influenced by the user-specified inlier scale. Second, it is computationally inefficient for large data. The presented algorithm, called iterative MaxFS with inlier scale… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 31 references

Deterministic Fitting of Multiple Structures using Iterative MaxFS with Inlier Scale Estimation.

  • K. H. Lee, S. W. Lee
  • In ICCV,
  • 2013
1 Excerpt

Similar Papers

Loading similar papers…