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
Unrestricted Recognition of 3-D Objects for Robotics Using Multi-Level Triplet Invariants
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.
Linköping University, The Institute of Technology. Linköping University, Department of Electrical Engineering, Computer Vision.
2004 (English)In: Artificial Intelligence Magazine, Vol. 25, no 2, 51-67 p.Article in journal (Refereed) Published
Abstract [en]

 A method for unrestricted recognition of 3-D objects has been developed. By unrestricted, we imply that the recognition shall be done independently of object position, scale, orientation and pose, against a structured background. It shall not assume any preceding segmentation and allow a reasonable degree of occlusion. The method uses a hierarchy of triplet feature invariants, which are at each level defined by a learning procedure. In the feed-back learning procedure, percepts are mapped upon system states corresponding to manipulation parameters of the object. The method uses a learning architecture employing channel information representation. The paper contains a discussion of how objects can be represented. A structure is proposed to deal with object and contextual properties in a transparent manner.

Place, publisher, year, edition, pages
2004. Vol. 25, no 2, 51-67 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-37297Local ID: 34530OAI: oai:DiVA.org:liu-37297DiVA: diva2:258146
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2011-01-12

Open Access in DiVA

No full text

Other links

http://www.cvl.isy.liu.se/ScOut/Publications/Papers/AIobject.pdf

Authority records BETA

Granlund, GöstaMoe, Anders

Search in DiVA

By author/editor
Granlund, GöstaMoe, Anders
By organisation
The Institute of TechnologyComputer Vision
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 156 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