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Luminance, colour, viewpoint and border enhanced disparity energy model

dc.contributor.authorMartins, Jaime
dc.contributor.authorRodrigues, Joao
dc.contributor.authordu Buf, J. M. H.
dc.date.accessioned2018-12-07T14:53:40Z
dc.date.available2018-12-07T14:53:40Z
dc.date.issued2015
dc.description.abstractThe visual cortex is able to extract disparity information through the use of binocular cells. This process is reflected by the Disparity Energy Model, which describes the role and functioning of simple and complex binocular neuron populations, and how they are able to extract disparity. This model uses explicit cell parameters to mathematically determine preferred cell disparities, like spatial frequencies, orientations, binocular phases and receptive field positions. However, the brain cannot access such explicit cell parameters; it must rely on cell responses. In this article, we implemented a trained binocular neuronal population, which encodes disparity information implicitly. This allows the population to learn how to decode disparities, in a similar way to how our visual system could have developed this ability during evolution. At the same time, responses of monocular simple and complex cells can also encode line and edge information, which is useful for refining disparities at object borders. The brain should then be able, starting from a low-level disparity draft, to integrate all information, including colour and viewpoint perspective, in order to propagate better estimates to higher cortical areas.
dc.description.sponsorshipUID/EEA/50009/2013; EU project Neuro Dynamics [FP7-ICT-2009-6, PN: 270247]; FCT project Sparse Coding [EXPL/EEI-SII/1982/2013]; FCT PhD grant [SFRH-BD-44941-2008]; FP7-ICT-2009-6
dc.identifier.doi10.1371/journal.pone.0129908
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10400.1/11629
dc.language.isoeng
dc.peerreviewedyes
dc.publisherPublic Library Science
dc.relationFACE AND OBJECT RECOGNITION BY 3D CORTICAL REPRESENTATIONS
dc.relationLaboratory for Robotics and Engineering Systems
dc.titleLuminance, colour, viewpoint and border enhanced disparity energy model
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleFACE AND OBJECT RECOGNITION BY 3D CORTICAL REPRESENTATIONS
oaire.awardTitleLaboratory for Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEEA%2F50009%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/EXPL%2FEEI-SII%2F1982%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F44941%2F2008/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50009%2F2013/PT
oaire.citation.issue6
oaire.citation.startPagee0129908
oaire.citation.titlePlos One
oaire.citation.volume10
oaire.fundingStream5876
oaire.fundingStream3599-PPCDT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMartins
person.familyNameRodrigues
person.familyNamedu Buf
person.givenNameJaime
person.givenNameJoao
person.givenNameHans
person.identifier.ciencia-id8A19-98F7-9914
person.identifier.orcid0000-0001-9360-0221
person.identifier.orcid0000-0002-3562-6025
person.identifier.orcid0000-0002-4345-1237
person.identifier.ridM-5125-2013
person.identifier.scopus-author-id55061238600
person.identifier.scopus-author-id55807461600
person.identifier.scopus-author-id6604075916
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
rcaap.typearticle
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