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Invariant multi-scale object categorisation and recognition

dc.contributor.authorRodrigues, J. M. F.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2009-02-13T17:10:01Z
dc.date.available2009-02-13T17:10:01Z
dc.date.issued2007
dc.description.abstractObject recognition requires that templates with canonical views are stored in memory. Such templates must somehow be normalised. In this paper we present a novel method for obtaining 2D translation, rotation and size invariance. Cortical simple, complex and end-stopped cells provide multi-scale maps of lines, edges and keypoints. These maps are combined such that objects are characterised. Dynamic routing in neighbouring neural layers allows feature maps of input objects and stored templates to converge. We illustrate the construction of group templates and the invariance method for object categorisation and recognition in the context of a cortical architecture, which can be applied in computer vision.pt_PT
dc.formatapplication/pdfpt_PT
dc.identifier.citation3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 07). - Girona, 6 - 8 June 2007. - LNCS 4477. - p. 459-466pt_PT
dc.identifier.otherAUT: JRO00913; DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/169
dc.language.isoengpt_PT
dc.publisherGironapt_PT
dc.relation.urihttp://www.bib.ualg.pt/artigos/DocentesEST/RODInv.pdfpt_PT
dc.rights.uriopenAccessen
dc.subjectVisão computorizadapt_PT
dc.subjectCórtex visualpt_PT
dc.subject621.38pt_PT
dc.titleInvariant multi-scale object categorisation and recognitionpt_PT
dc.typejournal article
dspace.entity.typePublication
person.familyNameRodrigues
person.familyNamedu Buf
person.givenNameJoao
person.givenNameHans
person.identifier.ciencia-id8A19-98F7-9914
person.identifier.orcid0000-0002-3562-6025
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id55807461600
person.identifier.scopus-author-id6604075916
rcaap.typearticlept_PT
relation.isAuthorOfPublication683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscoverycfad5636-2c77-4db0-a3a0-d7eb97ce6bee

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