umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Adaptive least squares matching as a non-linear least squares optimization problem
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7657-6917
2002 (English)In: Proceedings SSAB 2002: symposium on Image Analysis, 2002Conference paper, Published paper (Other academic)
Abstract [en]

Adaptive Least Squares Matching (ALSM) is a powerful technique for precisely locating objects in digital images. The method was introduced to the photogrammetric community by Gruen in 1985 and has since been developed further. The purpose of this paper is to study the basic ALSM formulation from a least squares optimization point of view. It turns out that it is possible to describe the basic algorithm as a variation of the Gauss-Newton method for solving weighted non-linear least squares optimization problems. This opens the possibility of applying optimization theory on the ALSM problem. The line-search algorithm for obtaining global convergence is especially described and illustrated

Place, publisher, year, edition, pages
2002.
Keyword [en]
Least squares matching, Gauss-Newton algorithm, Photogrammetry, Line search algorithms
Identifiers
URN: urn:nbn:se:umu:diva-40120OAI: oai:DiVA.org:umu-40120DiVA: diva2:397992
Conference
SSAB´02, Swedish symposium on Image Analysis, 2002 års Svenska Symposium i Bildanalys, 7-8 mars, LTH, Lund
Available from: 2011-02-16 Created: 2011-02-16 Last updated: 2014-06-11Bibliographically approved

Open Access in DiVA

fulltext(124 kB)143 downloads
File information
File name FULLTEXT02.pdfFile size 124 kBChecksum SHA-512
8022e26a43ca52fb2a5c780b72f746e6f67a0127a09ec85e28b9ee5f2b69adbdf56ae6478140356431934bd5b837fd207116f39bbe766720d0985423c636a6fa
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Börlin, Niclas
By organisation
Department of Computing Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 143 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 90 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf