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Robust Factorisation with Uncertainty Analysis
2006
18th International Conference on Pattern Recognition (ICPR'06)
This paper proposes how the classic factorisation algorithm for affine reconstruction can be extended to be robust to outliers and proposes how the uncertainty analysis can be performed in this case. The robust estimation approach elaborated here is based on the iteratively reweighted least-squares but the use of other robust methods is also discussed. Moreover, the uncertainty analysis presented in this paper could be similarly used in a RANSAC or LMedS extension of the factorisation
doi:10.1109/icpr.2006.1005
dblp:conf/icpr/Brandt06
fatcat:7lzv3ccbbjaonon3k3shj3w7d4