Skip to main content

Least Squares Fit of Point Clouds

  • Chapter

Abstract

We consider a least squares problem in coordinate metrology (see [2], [1]): m points of a workpiece, so-called nominal points are given by their exact coordinates from construction plans when the workpiece is in nominal position in a reference frame. We denote the coordinate vectors of the nominal points in this position by

$$\text{x}_{1},\dotso\text{x}_{m}, \text{x}_{i}\in R^{n}, 1\le n\le 3$$

.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Butler, B. P., Forbes A. B. and Harris, P. M., Algorithms for Geometric Tolerance Assessment Technical Report DITC 228/94, National Physical Laboratory, Teddington, 1994.

    Google Scholar 

  2. Forbes A. B., Geometric Tolerance Assessment Technical Report DITC 210/92, National Physical Laboratory, Teddington, 1992.

    Google Scholar 

  3. Gander, W., Algorithms for the Polar Decomposition, SIAM J. on Sci. and Stat. Comp., Vol. 11, No. 6, 1990.

    Google Scholar 

  4. Hanson, R. and Norris, M. Analysis of Measurements Based on the Singular Value Decomposition, SIAM J. on Sci. and Stat. Comp., Vol. 2, No. 3, 1981.

    Google Scholar 

  5. Golub, Gene H. and Van Loan, Charles F., Matrix Computations. 2nd ed. Baltimore Johns Hopkins University Press, cl989.

    MATH  Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Gander, W. (1997). Least Squares Fit of Point Clouds. In: Solving Problems in Scientific Computing Using Maple and MATLAB®. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-97953-8_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-97953-8_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61793-8

  • Online ISBN: 978-3-642-97953-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics