Fitting Parametric Curves to Dense and Noisy Points

Abstract

Given a large set of irregularly spaced points in the plane, an algorithm for partitioning the points into subsets and fitting a parametric curve to each subset is described. The points could be measurements from a physical phenomenon, and the objective in this process could be to find patterns among the points and describe the phenomenon analytically. The points could be measurements from a geometric model, and the objective could be to reconstruct the model by a combination of parametric curves. The algorithm proposed here can be used in various applications, especially where given points are dense and noisy.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
ADP011990

Entities

People

  • A. A. Goshtasby

Organizations

  • Wright State University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Curve Fitting
  • Data Sets
  • Digital Images
  • Engineering
  • Images
  • Intensity
  • Measurement
  • Silhouettes
  • Technical Information Centers

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Regression Analysis.

Technology Areas

  • Space