Robust Plane Estimation by Trimming Median Covariation Matrix

Abstract

We propose a novel plane estimation method for highly corrupted point sets with significant outliers. Our method is based on integrating a sampling strategy of robust regressions into nonlinear optimization of the median covariation matrix. We achieved highly accurate estimation results compared with popular conventional approaches including RANSAC, LMedS, LTS, and MCMPCA.