Bezier Curve Fitting.

Abstract

We typically think of fitting data with an approximating curve in the linear least squares sense, where the sum of the residuals in the vertical, or y, direction is minimized. The problem addressed here is to fit a Bezier curve to an ordered set of data in the total least squares sense, where the sum of the residuals in both the horizontal and vertical directions is minimized.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1998
Accession Number
ADA350611

Entities

People

  • Tim A. Pastva

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algebra
  • Algorithms
  • Applied Mathematics
  • California
  • Computers
  • Curve Fitting
  • Data Sets
  • Equations
  • Global Positioning Systems
  • Iterations
  • Linear Algebra
  • Marine Corps
  • Mathematical Analysis
  • Mathematics
  • Polynomials
  • Residuals
  • United States

Fields of Study

  • Mathematics

Readers

  • Calculus or Mathematical Analysis
  • Computational Modeling and Simulation
  • Space Exploration and Orbital Mechanics.