A multi-linear discriminant analysis of 2D frontal face images

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dc.contributor.authorCarlos E. Thomaz
dc.contributor.authorDO AMARAL, V.
dc.contributor.authorGIRALDI, G. A.
dc.contributor.authorKITANI, E. C.
dc.contributor.authorSATO, J. R.
dc.contributor.authorGILLES, D. F.
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-5566-1963
dc.date.accessioned2022-01-12T22:04:20Z
dc.date.available2022-01-12T22:04:20Z
dc.date.issued2009-10-11
dc.description.abstractWe have designed and implemented a multi-linear discriminant method of constructing and quantifying statistically significant changes on human identity photographs. The method is based on a general multivariate two-stage linear framework that addresses the small sample size problem in high-dimensional spaces. Starting with a 2D face data set of well framed images, we determine a most characteristic direction of change by organizing the data according to the features of interest. Our goal here is to use all the facial image features simultaneously rather than separate models for texture and shape information. Our experiments show that the method does produce plausible unseen views for gender, facial expression and ageing changes. We believe that this method could be widely applied for normalization in face recognition and in identifying subjects after a lapse of time. © 2009 IEEE.
dc.description.firstpage216
dc.description.lastpage223
dc.identifier.citationTHOMAZ, C. E.; DO AMARAL, V.; GIRALDI, G. A.; KITANI, E. C.; SATO, J. R.; GILLES, D. F. A multi-linear discriminant analysis of 2D frontal face images. Proceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing, p. 216-223, Oct. 2009.
dc.identifier.doi10.1109/SIBGRAPI.2009.15
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4264
dc.relation.ispartofProceedings of SIBGRAPI 2009 - 22nd Brazilian Symposium on Computer Graphics and Image Processing
dc.rightsAcesso Restrito
dc.titleA multi-linear discriminant analysis of 2D frontal face images
dc.typeArtigo de evento
fei.scopus.citations2
fei.scopus.eid2-s2.0-77949620224
fei.scopus.subjectFace data
fei.scopus.subjectFacial Expressions
fei.scopus.subjectFacial images
fei.scopus.subjectFrontal faces
fei.scopus.subjectHigh dimensional spaces
fei.scopus.subjectHuman identity
fei.scopus.subjectLinear discriminant analysis
fei.scopus.subjectLinear discriminants
fei.scopus.subjectShape information
fei.scopus.subjectSmall sample size problems
fei.scopus.subjectTwo stage
fei.scopus.updated2024-05-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77949620224&origin=inward
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