Rank Constraints for Homographies over Two Views: Revisiting the Rank Four Constraint

@article{Chen2008RankCF,
  title={Rank Constraints for Homographies over Two Views: Revisiting the Rank Four Constraint},
  author={Pei Chen and David Suter},
  journal={International Journal of Computer Vision},
  year={2008},
  volume={81},
  pages={205-225}
}
It is well known that one can collect the coefficients of five (or more) homographies between two views into a large, rank deficient matrix. In principle, this implies that one can refine the accuracy of the estimates of the homography coefficients by exploiting the rank constraint. However, the standard rank-projection approach is impractical for two different reasons: it requires many homographies to even score a modest gain; and, secondly, correlations between the errors in the coefficients… CONTINUE READING
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