Efficient outlier removal algorithm
Guanghua Zhang, Manickam Umasuthan, Andrew Michael Wallace · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1993
We present a modification to the standard least-median-of-squares (LMedS) algorithm for removal of outliers in range data which retains the merits of the conventional approach. The surface model generated around one point may be shared by other points in its neighborhood; this reduces substantially the time for the algorithm to generate local surface models. Like the conventional LMedS approach, the algorithm is most applicable to data points from locally smooth surfaces.