Robust low rank matrix factorization with missing data. Matlab implementation of RANSAC framework based on minimal solvers for low rank factorization of matrices with missing data.
Please cite:
M. Oskarsson, K. Batstone and K. Åström "Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC" in Proc. CVPR 2016, Las Vegas, USA
F. Jiang, M. Oskarsson and K. Åström "On the minimal problems of low-rank matrix factorization" in Proc. CVPR 2015, Boston, USA
Contains two versions
- genrank-solver - Solver for a general fixed rank
- sfmrank4-solver - Solver for affine structure from motion, using rank 4 factorization