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Authordc.contributor.authorVerschae, Rodrigo 
Authordc.contributor.authorRuiz del Solar, Javier es_CL
Authordc.contributor.authorCorrea, Mauricio es_CL
Admission datedc.date.accessioned2012-12-20T20:10:01Z
Available datedc.date.available2012-12-20T20:10:01Z
Publication datedc.date.issued2008
Cita de ítemdc.identifier.citation"Workshop on Faces in 'Real-Life' Images: Detection, Alignment, and Recognition, Marseille : France (2008)"es_CL
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/120319
Abstractdc.description.abstractThe development of face recognition methods for unconstrained environments is a challenging problem. The aim of this work is to carry out a comparative study of existing face recognition methods that are suitable to work properly in these environments. The analyzed methods are selected by considering their performance in former comparative studies, in addition to be real-time, to require just one image per person, and to be fully online (no requirements of offline enrollment). The methods are compared using the LFW database, which was built to evaluate face recognition methods in real-world conditions. The results of this comparative study are intended to be a guide for developers of face recognition systems.es_CL
Lenguagedc.language.isoenes_CL
Keywordsdc.subjectUnconstrained Face Recognitiones_CL
Títulodc.titleFace Recognition in Unconstrained Environments: A Comparative Studyes_CL
Document typedc.typeArtículo de revista


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