Truncated Least Squares

On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation

Outlier-robust estimation involves estimating some parameters (e.g., 3D rotations) from data samples in the presence of outliers, and is typically formulated as a non-convex and non-smooth problem. For this problem, the classical method called …