TY - GEN
T1 - Subspace estimation using projection based M-estimators over grassmann manifolds
AU - Subbarao, Raghav
AU - Meer, Peter
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745814768&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745814768&partnerID=8YFLogxK
U2 - 10.1007/11744023_24
DO - 10.1007/11744023_24
M3 - Conference contribution
AN - SCOPUS:33745814768
SN - 3540338322
SN - 9783540338321
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 301
EP - 312
BT - Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Proceedings
T2 - 9th European Conference on Computer Vision, ECCV 2006
Y2 - 7 May 2006 through 13 May 2006
ER -