Fast and robust numerical solutions to minimal problems for cameras with radial distortion

  title={Fast and robust numerical solutions to minimal problems for cameras with radial distortion},
  author={Zuzana Kukelova and Martin Byr{\"o}d and Klas Josephson and Tom{\'a}s Pajdla and Kalle {\AA}str{\"o}m},
  journal={2008 IEEE Conference on Computer Vision and Pattern Recognition},
A number of minimal problems of structure from motion for cameras with radial distortion have been studied and solved in some cases. These problems are known to be numerically very challenging and in several cases there exist no known practical algorithm yielding solutions in floating point arithmetic. We make some crucial observations concerning the floating point implementation of Grobner basis computations and use these new insights to formulate fast and stable algorithms for two minimal… CONTINUE READING
Highly Cited
This paper has 81 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 46 extracted citations

81 Citations

Citations per Year
Semantic Scholar estimates that this publication has 81 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 27 references

Aström, Improving numerical accuracy of gröbner basis polynomial equation solver

  • M. Byröd, K. Josephson
  • in: International C onference on Computer Vision…
  • 2007
Highly Influential
7 Excerpts

A non-iterative method for lens distort i n correction from point matches

  • H. Li, R. Hartley
  • in: Workshop on Omnidirectional Vision, B eijing…
  • 2005
3 Excerpts

A noniterative method for lens distortion correction from point matches

  • R. Hartley.
  • 2005

Similar Papers

Loading similar papers…