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Real-Time Object Recognition Based on Cortical Multi-scale Keypoints

dc.contributor.authorTerzic, Kasim
dc.contributor.authorRodrigues, J. M. F.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2014-01-29T10:07:22Z
dc.date.available2014-01-29T10:07:22Z
dc.date.issued2013-06
dc.date.updated2014-01-27T23:34:26Z
dc.description.abstractIn recent years, a large number of impressive object categorisation algorithms have surfaced, both computational and biologically motivated. While results on standardised benchmarks are impressive, very few of the best-performing algorithms took run-time performance into account, rendering most of them useless for real-time active vision scenarios such as cognitive robots. In this paper, we combine cortical keypoints based on primate area V1 with a state-of-the-art nearest neighbour classifier, and show that such a system can approach state-of-the-art categorisation performance while meeting the real-time constraint.por
dc.identifier.citationTerzic, Kasim; Rodrigues, Joao M. F.; du Buf, J. M. Hans. Real-Time Object Recognition Based on Cortical Multi-scale Keypoints, In Pattern Recognition and Image Analysis, 314-321, ISBN: 978-3-642-38627-5. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.por
dc.identifier.doihttp://dx.doi.org/ 10.1007/978-3-642-38628-2_37
dc.identifier.isbn978-3-642-38627-5
dc.identifier.otherAUT: JRO00913; DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/3374
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer Berlin Heidelbergpor
dc.relationA neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning.
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007/978-3-642-38628-2_37por
dc.subjectPattern Recognitionpor
dc.subjectComputer imagingpor
dc.subjectVisionpor
dc.subjectComputer Graphicspor
dc.subjectArtificial Intelligencepor
dc.titleReal-Time Object Recognition Based on Cortical Multi-scale Keypointspor
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleA neuro-dynamic framework for cognitive robotics: scene representations, behavioural sequences, and learning.
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/270247/EU
oaire.citation.conferencePlaceFunchal, Madeira, Portugalpor
oaire.citation.endPage321por
oaire.citation.startPage314por
oaire.citation.titlePattern Recognition and Image Analysispor
oaire.fundingStreamFP7
person.familyNameTerzic
person.familyNameRodrigues
person.familyNamedu Buf
person.givenNameKasim
person.givenNameJoao
person.givenNameHans
person.identifier.ciencia-id8A19-98F7-9914
person.identifier.orcid0000-0001-6692-209X
person.identifier.orcid0000-0002-3562-6025
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridN-6522-2013
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id24544884400
person.identifier.scopus-author-id55807461600
person.identifier.scopus-author-id6604075916
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspor
rcaap.typebookPartpor
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relation.isAuthorOfPublication683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscovery683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isProjectOfPublicationef5f67fa-93e7-4d9a-8157-a59c70c4e0d9
relation.isProjectOfPublication.latestForDiscoveryef5f67fa-93e7-4d9a-8157-a59c70c4e0d9

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