/Robust-Plane-Fit

Various methods for fitting planes in the presence of outliers

Primary LanguageC++BSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

Robust-Plane-Fit

Various methods for fitting planes in the presence of outliers

Robust to Non-Gaussian Noise and Deterministic

Extremely fast: M-Estimator (Early stopping might not happen in all cases, which can degrade below IRLS performance)

Relatively fast: Iteratively Reweighted Least Squares (More deterministic than M-Estimator)

Robust to Gaussian Noise, Non-Deterministic

Medium with early termination: RANSAC

Slow: Least Median of Squares (more robust than RANSAC in the presence of noise)

Can Handle A Small Proportion of Gaussian ONLY Noise

Extremely fast: Theil-Sen Estimator