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dc.contributorPascual del Pobil Ferré, Ángel
dc.contributorCervera Mateu, Enric
dc.contributor.authorKassawat, Majd
dc.contributor.otherUniversitat Jaume I. Departament d'Enginyeria i Ciència dels Computadors
dc.date.accessioned2017-04-21T06:31:47Z
dc.date.available2017-04-21T06:31:47Z
dc.date.issued2016-07-18
dc.identifier.urihttp://hdl.handle.net/10234/167241
dc.descriptionTreball final de Màster Universitari en Sistemes Intel.ligents. Codi: SIU043. Curs acadèmic 2015-2016ca_CA
dc.description.abstractOne of the most common and required tasks for a robot is picking and placing objects. This task has very wide and various applications in the industry. In order to perform this task, we should identify the target objects to be picked. To do so an object recognition process is necessary using one or more out of various possible algorithms. In this project we study the object recognition pipelines using the Point Cloud Library (PCL). We will discuss mainly two algorithms VFH and SHOTCOLOR that take 3D data as an input. The experimental study is performed in the context of the Amazon Picking Challenge. The studied algorithms are tested using objects included in the 2015 edition of this challenge.ca_CA
dc.format.extent44 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherUniversitat Jaume Ica_CA
dc.rights.urihttp://rightsstatements.org/vocab/CNE/1.0/*
dc.subjectMàster Universitari en Sistemes Intel·ligentsca_CA
dc.subjectMáster Universitario en Sistemas Inteligentesca_CA
dc.subjectMaster's Degree in Intelligent Systemsca_CA
dc.titleApplication of some algorithms in the Point Cloud Library (PCL) for object recognition in robotic pickingca_CA
dc.typeinfo:eu-repo/semantics/masterThesisca_CA
dc.educationLevelEstudios de Postgradoca_CA
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA


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