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AuthorNiese, R.dc.contributor.author
AuthorAl-Hamadi, A.dc.contributor.author
AuthorFarag, A.dc.contributor.author
AuthorNeumann, H.dc.contributor.author
AuthorMichaelis, B.dc.contributor.author
Date of accession2021-04-14T06:04:39Zdc.date.accessioned
Available in OPARU since2021-04-14T06:04:39Zdc.date.available
Date of first publication2012dc.date.issued
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
KeywordSTEREOdc.subject
Dewey Decimal GroupDDC 000 / Computer science, information & general worksdc.subject.ddc
Dewey Decimal GroupDDC 620 / Engineering & allied operationsdc.subject.ddc
TitleFacial expression recognition based on geometric and optical flow features in colour image sequencesdc.title
Resource typeWissenschaftlicher Artikeldc.type
FacultyFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.affiliationGeneral
InstitutionInstitut für Neuroinformatikuulm.affiliationSpecific
DCMI TypeTextuulm.typeDCMI
CategoryPublikationsnachweiseuulm.category
DOI (external)10.1049/iet-cvi.2011.0064dc.identifier.doiExternal
Source - Title of sourceIET Computer Visionsource.title
Source - Place of publicationInstitution of Engineering and Technology (IET)source.publisher
Source - Volume6source.volume
Source - Issue2source.issue
Source - Year2012source.year
Source - From page79source.fromPage
Source - To page89source.toPage
Source - ISSN1751-9632source.identifier.issn
Source - eISSN1751-9640source.identifier.eissn
FundingTRR 62 / Eine Companion-Technologie für kognitive technische Systeme / DFG / SFB-TRR / 54371073uulm.funding
CommunityFakultät für Ingenieurwissenschaften, Informatik und Psychologieuulm.community
WoS000302137600001uulm.identifier.wos
Bibliographyuulmuulm.bibliographie


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