Optimal method for the affine F-matrix and its uncertainty estimation in the sense of both noise and outliers

This publication has 16 references indexed in Scilit:

• A Bayesian weighting principle for the fundamental matrix estimation
  Pattern Recognition Letters, 2000
• MLESAC: A New Robust Estimator with Application to Estimating Image Geometry
  Computer Vision and Image Understanding, 2000
• Characterizing the Uncertainty of the Fundamental Matrix
  Computer Vision and Image Understanding, 1997
• The Development and Comparison of Robust Methods for Estimating the Fundamental Matrix
  International Journal of Computer Vision, 1997
• Epipolar geometry and linear subspace methods: a new approach to weak calibration
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1996
• Epipolar Geometry in Stereo, Motion and Object Recognition
  Published by Springer Nature ,1996
• Rejecting outliers and estimating errors in an orthogonal-regression framework
  Philosophical Transactions A, 1995
• Motion from point matches using affine epipolar geometry
  Published by Springer Nature ,1994
• Motion and structure from two perspective views: algorithms, error analysis, and error estimation
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,1989
• Random sample consensus
  Communications of the ACM, 1981