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dc.contributorTarrés Ruiz, Francisco
dc.contributor.authorMur Escartín, Olga
dc.date.accessioned2009-09-23T15:37:21Z
dc.date.available2009-09-23T15:37:21Z
dc.date.issued2009-07-15
dc.identifier.urihttp://hdl.handle.net/2099.1/7412
dc.descriptionThe thesis consist in the study and evaluation of different methods for face recognition. The final objective is to select the most suitable techniques for face detection and recognition. Some of these techniques will be intergrated in a real time demontrator which will be a preliminary prototype that will have to work in controlled conditions (for ilumination and pose) and with reduced databases. The demonstrator will be done in Matlab and the main image acquisition rotines and face detection and recognition algorithms will be implemented in this language.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject.lcshHuman face recognition (Computer science)
dc.subject.otherImage recognition
dc.subject.otherClassification
dc.subject.otherVideosurveillance
dc.subject.otherVideo security
dc.subject.otherAutomatic indexing
dc.subject.otherFace detection
dc.subject.otherFace recognition
dc.titleFace recognition in controlled access points
dc.typeMaster thesis
dc.subject.lemacReconeixement facial (Informàtica)
dc.subject.lemacReconeixement de la cara humana (Informàtica)
dc.rights.accessOpen Access
dc.date.updated2009-07-24T05:44:17Z
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorEscola Politècnica Superior de Castelldefels


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