Share Email Print
cover

Proceedings Paper

Efficient outlier removal algorithm
Author(s): Guanghua Zhang; Manickam Umasuthan; Andrew M. Wallace
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 21 May 1993
PDF: 10 pages
Proc. SPIE 1902, Nonlinear Image Processing IV, (21 May 1993); doi: 10.1117/12.144775
Show Author Affiliations
Guanghua Zhang, Heriot-Watt Univ. (United Kingdom)
Manickam Umasuthan, Heriot-Watt Univ. (United Kingdom)
Andrew M. Wallace, Heriot-Watt Univ. (United Kingdom)


Published in SPIE Proceedings Vol. 1902:
Nonlinear Image Processing IV
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

© SPIE. Terms of Use
Back to Top