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AuthorBayerl, Pierredc.contributor.author
AuthorNeumann, Heikodc.contributor.author
Date of accession2023-05-31T10:38:31Zdc.date.accessioned
Available in OPARU since2023-05-31T10:38:31Zdc.date.available
Date of first publication2007dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
Keywordmotion estimationdc.subject
Keywordcomputational models of visiondc.subject
Keywordrecurrent information processingdc.subject
Keywordmotion aperture problemdc.subject
Keywordalgorithmsdc.subject
KeywordVISUAL AREA MTdc.subject
KeywordNEURAL MECHANISMSdc.subject
KeywordSELECTION MODELdc.subject
KeywordOPTICAL-FLOWdc.subject
KeywordMACAQUEdc.subject
KeywordORIENTATIONdc.subject
KeywordPERCEPTIONdc.subject
KeywordDIRECTIONdc.subject
KeywordNEURONSdc.subject
KeywordCORTEXdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleA fast biologically inspired algorithm for recurrent motion estimationdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1109/TPAMI.2007.24dc.identifier.doiExternal
Source - Title of sourceIEEE Transactions on Pattern Analysis and Machine Intelligencesource.title
Source - Place of publicationIEEE Computer Societysource.publisher
Source - Volume29source.volume
Source - Issue2source.issue
Source - Year2007source.year
Source - From page246source.fromPage
Source - To page260source.toPage
Source - ISSN0162-8828source.identifier.issn
Source - eISSN1939-3539source.identifier.eissn
CommunityUniversität Ulmuulm.community
WoS000242826900006uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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