liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
Comparison of Optimisation Algorithms for Deformable Template Matching
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2009 (English)In: Advances in Visual Computing / [ed] Bebis, G.; Boyle, R.; Parvin, B.; Koracin, D.; Kuno, Y.; Wang, J.; Pajarola, R.; Lindstrom, P.; Hinkenjann, A.; Encarnacao, M.L.; Silva, C.T.; Coming, D., Berlin: Springer , 2009, 1097-1108 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this work we examine in detail the use of optimisation algorithms on deformable template matching problems. We start with the examination of simple, direct-search methods and move on to more complicated evolutionary approaches. Our goal is twofold: first, evaluate a number of methods examined under different template matching settings and introduce the use of certain, novel evolutionary optimisation algorithms to computer vision, and second, explore and analyse any additional advantages of using a hybrid approach over existing methods. We show that in computer vision tasks, evolutionary strategies provide very good choices for optimisation. Our experiments have also indicated that we can improve the convergence speed and results of existing algorithms by using a hybrid approach.

Place, publisher, year, edition, pages
Berlin: Springer , 2009. 1097-1108 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 5876
Keyword [en]
optimisation algorithms, template matching, hybrid optimisation
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-52173DOI: 10.1007/978-3-642-10520-3_105ISI: 000279247100105ISBN: 978-3-642-10519-7 (print)OAI: oai:DiVA.org:liu-52173DiVA: diva2:280074
Conference
International Symposium on Visual Computing, November 29 - December 1, Las Vegas, Nevada, USA
Projects
DIPLECS
Available from: 2010-09-21 Created: 2009-12-08 Last updated: 2010-09-21Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Zografos, Vasileios

Search in DiVA

By author/editor
Zografos, Vasileios
By organisation
Computer VisionThe Institute of Technology
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 164 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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