Your browser does not support JavaScript!

Coarse-to-fine least squares stereo matching for 3-D reconstruction

Coarse-to-fine least squares stereo matching for 3-D reconstruction

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Least squares methods have been used for 3-D reconstruction from digital stereo images. A preliminary estimate of the disparity of points to be matched in the two images is required for the convergence of the method. A new approach based on a Gaussian pyramid decomposition of the stereo images and application of the least squares method at each level of the pyramid is presented. Results obtained from digitised stereo images and 3-D reconstruction are reported.


    1. 1)
      • F. Ackekmann . Digital image correlation: performance and potential application in photogrammetry. Photogrammetric Record , 429 - 439
    2. 2)
      • A. Pertl . Digital image correlation with an analytical plotter. Photogrammetria , 9 - 19
    3. 3)
      • P.J. Burt , E.H. Adelson . The Laplacian Pyramid as a compact image code. IEEE Trans. , 532 - 540
    4. 4)
      • D. Roseholm . Least squares matching method: some experimental results. Photogrammetric Record , 493 - 512

Related content

This is a required field
Please enter a valid email address