Robust shape fitting via peeling and grating coresets

Published

Journal Article

Let P be a set of n points in ℝ d. A subset S of P is called a (k,ε)-kernel if for every direction, the directional width of S ε-approximates that of P, when k "outliers" can be ignored in that direction. We show that a (k,ε)-kernel of P of size O(k/ε (d-1)/2) can be computed in time O(n+k 2/ε d-1). The new algorithm works by repeatedly "peeling" away (0,ε)-kernels from the point set. We also present a simple ε-approximation algorithm for fitting various shapes through a set of points with at most k outliers. The algorithm is incremental and works by repeatedly "grating" critical points into a working set, till the working set provides the required approximation. We prove that the size of the working set is independent of n, and thus results in a simple and practical, near-linear ε-approximation algorithm for shape fitting with outliers in low dimensions. We demonstrate the practicality of our algorithms by showing their empirical performance on various inputs and problems. © 2007 Springer Science+Business Media, LLC.

Full Text

Duke Authors

Cited Authors

  • Agarwal, PK; Har-Peled, S; Yu, H

Published Date

  • January 1, 2008

Published In

Volume / Issue

  • 39 / 1-3

Start / End Page

  • 38 - 58

Electronic International Standard Serial Number (EISSN)

  • 1432-0444

International Standard Serial Number (ISSN)

  • 0179-5376

Digital Object Identifier (DOI)

  • 10.1007/s00454-007-9013-2

Citation Source

  • Scopus