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Object segregation and local gist vision using low-level geometry

2009Conference object Open Access
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dc.contributor.authorMartins, J. A.
dc.contributor.authorRodrigues, J. M. F.
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2015-11-30T14:13:06Z
dc.date.available2015-11-30T14:13:06Z
dc.date.issued2009
dc.description.abstractMulti-scale representations of lines, edges and keypoints on the basis of simple, complex and end-stopped cells can be used for object categorisation and recognition (Rodrigues and du Buf, 2009 BioSystems 95 206-226). These representations are complemented by saliency maps of colour, texture, disparity and motion information, which also serve to model extremely fast gist vision in parallel with object segregation. We present a low-level geometry model based on a single type of self-adjusting grouping cell, with a circular array of dendrites connected to edge cells located at several angles.pt_PT
dc.identifier.issn0301-0066
dc.identifier.otherAUT: JRO00913; DUB00865;
dc.identifier.urihttp://hdl.handle.net/10400.1/7215
dc.language.isoeng
dc.peerreviewedyes
dc.publisherPion Ltd.
dc.relation.isbasedonP-003-RKN
dc.titleObject segregation and local gist vision using low-level geometry
dc.typeconference object
dspace.entity.typePublication
oaire.citation.endPage42
oaire.citation.startPage41
oaire.citation.titlePerception
oaire.citation.volume38
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.rightsopenAccess
rcaap.typeconferenceObject
relation.isAuthorOfPublication683ba85b-459c-4789-a4ff-a4e2a904b295
relation.isAuthorOfPublicationcfad5636-2c77-4db0-a3a0-d7eb97ce6bee
relation.isAuthorOfPublication.latestForDiscovery683ba85b-459c-4789-a4ff-a4e2a904b295

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