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

Direct link
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 (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.
, Lecture notes in computer science, ISSN 0302-9743 ; 5876
Keyword [en]
optimisation algorithms, template matching, hybrid optimisation
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-52173DOI: 10.1007/978-3-642-10520-3_105ISI: 000279247100105ISBN: 978-3-642-10519-7OAI: diva2:280074
International Symposium on Visual Computing, November 29 - December 1, Las Vegas, Nevada, USA
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

Search in DiVA

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

Search outside of DiVA

GoogleGoogle Scholar
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

Altmetric score

Total: 153 hits
ReferencesLink to record
Permanent link

Direct link