Subspace Estimation using Projection Based M-Estimators over
Raghav Subbarao and Peter Meer
Department of Electrical and Computer Engineering
Rutgers University, Piscataway, NJ 08854, USA
We propose a solution to the problem of robust subspace estimation
using the projection based M-estimator. The new method handles
more outliers than inliers, does not require a user defined scale
of the noise affecting the inliers, handles noncentered data and
nonorthogonal subspaces. Other robust methods like RANSAC, use an
input for the scale, while methods for subspace segmentation, like
GPCA, are not robust. Synthetic data and three real cases of
multibody factorization show the superiority of our method, in
spite of user independence.
9th European Conference on Computer Vision
, Graz, Austria, May 2006, vol. I, 301-312.
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