Research >> Robust estimation


Robust estimation


In the mid- to late-1990's we did a significant amount of work on robust
estimation in computer vision, including both the underlying theory and
the design of new algorithms. The most effective of these algorithms is
MUSE. The implementation included here is based on the
version of MUSE described in Jim Miller's PhD dissertation.



J.V. Miller and C.V. Stewart, MUSE: Robust surface fitting using unbiased
scale estimates, Proc. IEEE Conf. Computer Vision and Pattern Recognition ,
pp.300-306, 1996. [ ps.gz ] [ pdf ] [ bib ]

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