Subspace Estimation using Projection Based M-Estimators over Grassmann Manifolds.

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.
Return to Research: Robust Analysis of Visual Data        Return to List of Publications
Download the paper