MLESAC: A New Robust Estimator with Application to Estimating Image Geometry

  title={MLESAC: A New Robust Estimator with Application to Estimating Image Geometry},
  author={P. Torr and Andrew Zisserman},
  journal={Comput. Vis. Image Underst.},
  • P. Torr, Andrew Zisserman
  • Published 2000
  • Mathematics, Computer Science
  • Comput. Vis. Image Underst.
  • Abstract A new method is presented for robustly estimating multiple view relations from point correspondences. The method comprises two parts. The first is a new robust estimator MLESAC which is a generalization of the RANSAC estimator. It adopts the same sampling strategy as RANSAC to generate putative solutions, but chooses the solution that maximizes the likelihood rather than just the number of inliers. The second part of the algorithm is a general purpose method for automatically… CONTINUE READING
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