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

  title={MLESAC: A New Robust Estimator with Application to Estimating Image Geometry},
  author={Philip H. S. Torr and Andrew Zisserman},
  journal={Computer Vision and Image Understanding},
A new method is presented for robustly estimating multiple v iew relations from point correspondences. The method comprises two parts, the first is a new robust estimatorMLESAC which is a generalization of the RANSAC estimator. It adopts the same sampling strategy as RANSAC to generate putative solutions, but chooses the solution to maximize the likelihood rather than just the number of inliers. The second part to the algorithm is a general purpose m ethod for automatically parametrizing these… CONTINUE READING
Highly Influential
This paper has highly influenced 163 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,659 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 948 extracted citations

Fast point matching using corresponding circles

Multimedia Tools and Applications • 2018
View 15 Excerpts
Highly Influenced

Hierarchical structure-and-motion recovery from uncalibrated images

Computer Vision and Image Understanding • 2015
View 8 Excerpts
Highly Influenced

A noise adaptive method for needle localization in 3D ultrasound images

2014 Iranian Conference on Intelligent Systems (ICIS) • 2014
View 5 Excerpts
Highly Influenced

Efficient and robust model fitting with unknown noise scale

Image Vision Comput. • 2013
View 18 Excerpts
Highly Influenced

Automatic Face Segmentation and Facial Landmark Detection in Range Images

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2010
View 4 Excerpts
Highly Influenced

Robust matching in an uncertain world

UR FrédéricS
View 6 Excerpts
Highly Influenced

1,659 Citations

Citations per Year
Semantic Scholar estimates that this publication has 1,659 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 40 references


R. I. Hartley, P. Sturm
In DARPA Image Understanding Workshop, Monterey, CA pages 957–966, • 1994
View 4 Excerpts
Highly Influenced

Algorithms for the solution of the nonlinear least-squares problem

P. E. Gill, W. Murray
SIAM J Num Anal, 15(5):977–992, • 1978
View 7 Excerpts
Highly Influenced

Projection pursuit

P. J. Huber
Annals of Statistics , 13:433–475, • 1985
View 3 Excerpts
Highly Influenced

P . H . S . Torr and A . Zisserman . Robust computation and parametrization of multiple view relations

U Desai

Similar Papers

Loading similar papers…