Approximation of measured data with interval B-splines

S. T. Tuohy, T. Maekawa, G. Shen, N. M. Patrikalakis

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

Abstract

The objective of this paper is to provide an efficient and reliable method for interpolating or approximating a set of measured data with an interval B-spline curve or surface. In general, measured data possess uncertainty, arising from sensor precision and measurement registration, which can be represented as an interval. Both the interpolation and approximation techniques presented in the paper produce interval bounding geometries that strictly enclose the intervals of the original data; in the case of our interpolation method, the achieved fit is extremely tight, and in the case of our approximation technique the achieved fit depends on the number of control points one is willing to allow. Examples using measured data illustrate our method.

Original languageEnglish
Pages (from-to)791-799
Number of pages9
JournalCAD Computer Aided Design
Volume29
Issue number11
DOIs
Publication statusPublished - 1997 Nov
Externally publishedYes

Keywords

  • Fitting
  • Interval methods
  • Reverse engineering
  • Robust solid modeling

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design
  • Industrial and Manufacturing Engineering

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