Efficient outlier removal algorithm

Guanghua Zhang; Manickam Umasuthan; Andrew M. Wallace

doi:10.1117/12.144775

21 May 1993 Efficient outlier removal algorithm

Guanghua Zhang, Manickam Umasuthan, Andrew M. Wallace

Proceedings Volume 1902, Nonlinear Image Processing IV; (1993) https://doi.org/10.1117/12.144775
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Guanghua Zhang, Manickam Umasuthan, and Andrew M. Wallace "Efficient outlier removal algorithm", Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); https://doi.org/10.1117/12.144775

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