Jose A. Lopez

A Convex Optimization Approach to Robust Fundamental Matrix Estimation

This paper considers the problem of recovering a subspace arrangement from noisy samples, potentially corrupted with outliers. Our main result shows that this problem can be formulated as a constrained polynomial optimization, for which a monotonically convergent sequence of tractable convex rela…