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dc.contributorAngulo Bahón, Cecilio
dc.contributor.authorTrejo Ramírez, Karla Andrea
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2014-11-13T16:43:25Z
dc.date.issued2014-06
dc.identifier.urihttp://hdl.handle.net/2099.1/23699
dc.description.abstractActive Appearance Models (AAMs) is a computer vision procedure for statistical matching of object shape and appearance between images. The present work will analyze how AAMs can be employed with RGB-Depth technology, so robots endowing a Kinect sensor can perceive and recognize humans more effectively in order to unequivocally identify them. This research is associated to the RoCKIn@Home challenge, an initiative from the European RoCKIn project focusing on domestic service robots.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
dc.subject.lcshComputer vision
dc.subject.lcshPattern recognition systems
dc.subject.lcshRobotics
dc.subject.lcshImage converters
dc.subject.otherActive Appearance Model
dc.subject.otherStatistical matching
dc.subject.otherRGB-D
dc.subject.otherPeople recognition
dc.subject.otherHuman–robot interaction
dc.subject.otherRoCKIn challenge
dc.subject.otherKinect
dc.titleActive Appearance Models for People Recognition with a RGB-D Sensor
dc.typeMaster thesis
dc.subject.lemacVisió per ordinador
dc.subject.lemacReconeixement de formes (Informàtica)
dc.subject.lemacRobòtica
dc.subject.lemacImatges -- Convertidors
dc.rights.accessRestricted access - author's decision
dc.date.lift10000-01-01
dc.audience.educationlevelMàster
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona


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