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Multi-scale keypoint annotation: a biological approach

dc.contributor.authorFarrajota, Miguel
dc.contributor.authorRodrigues, J. M. F.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2011-12-06T13:38:00Z
dc.date.available2011-12-06T13:38:00Z
dc.date.issued2009
dc.date.updated2011-12-05T16:56:30Z
dc.description.abstractThe primary visual cortex employs simple, complex and end-stopped cells to create a scale space of 1D singularities (lines and edges) and of 2D singularities (line and edge junctions and crossings called keypoints). In this paper we show first results of a biological model which attributes information of the local image structure to keypoints at all scales, ie junction type (L, T, +) and main line/edge orientations. Keypoint annotation in combination with coarse to fine scale processing facilitates various processes, such as image matching (stereo and optical flow), object segregation and object tracking.por
dc.identifier.citationFarrajota, Miguel ; Rodrigues, J.M.F.; du Buf, J.M.H. Multi-scale keypoint annotation - a biological approach, Trabalho apresentado em RECPAD 2009, In Proc. 15th Portuguese Conf. on Pattern Recogn. (RECPAD 2009), Aveiro, Portugal, 2009.por
dc.identifier.otherAUT: JRO00913; DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/880
dc.language.isoengpor
dc.peerreviewednopor
dc.subjectVisão humanapor
dc.titleMulti-scale keypoint annotation: a biological approachpor
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FEIA%2F73633%2F2006/PT
oaire.fundingStream3599-PPCDT
person.familyNameFarrajota
person.familyNameRodrigues
person.familyNamedu Buf
person.givenNameMiguel
person.givenNameJoao
person.givenNameHans
person.identifier.ciencia-id8A19-98F7-9914
person.identifier.orcid0000-0001-7970-4649
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
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication683ba85b-459c-4789-a4ff-a4e2a904b295
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relation.isProjectOfPublication5080fe84-357b-4375-8a68-d4ad7d655b6c
relation.isProjectOfPublication.latestForDiscovery5080fe84-357b-4375-8a68-d4ad7d655b6c

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