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Authordc.contributor.authorNavarrete Michelini, Pablo 
Authordc.contributor.authorRuiz del Solar, Javier es_CL
Admission datedc.date.accessioned2012-12-18T14:42:07Z
Available datedc.date.available2012-12-18T14:42:07Z
Publication datedc.date.issued2012-12-18T14:42:07Z
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/125700
Abstractdc.description.abstractDifferent eigenspace-based approaches have been proposed for the recognition of faces. They differ mostly in the kind of projection method been used and in the similarity matching criterion employed. The aim of this paper is to present a comparative study between some of these different approaches. This study considers theoretical aspects as well as experiments performed using a face database with a few number of classes (Yale) and a face database with a large number of classes (FERET).es_CL
Patrocinadordc.description.sponsorshipThis research was supported by the DID (U. de Chile) under Project ENL-2001/11, and by the join "Program of Scientific Cooperation" of CONICYT (Chile) and BMBF (Germany) under the project "Face Recognition and Signature Verification using Soft-Computing".es_CL
Lenguagedc.language.isoenes_CL
Keywordsdc.subjectPCAes_CL
Títulodc.titleAnalysis and comparison of eigenspace-based face recognition approacheses_CL
Document typedc.typeArtículo de revista


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