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dc.contributor.advisorAristidou, Andreasen
dc.contributor.authorPanayiotou, Markosen
dc.coverage.spatialCyprusen
dc.creatorPanayiotou, Markosen
dc.date.accessioned2023-02-20T11:30:31Z
dc.date.available2023-02-20T11:30:31Z
dc.date.issued2022-12
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/65475en
dc.description.abstractOne of the main issues that Motion Capture systems face is to accurately note all markers within the 3D environment. While the accuracy varies according to the system used, there are algorithms that use Deep Learning techniques to place and fix any offset that a Motion Capture may have, according to the training data given. In this Thesis, I will test the MoCap Solver algorithm on the DanceDB Motion Captures in order to fix the misplaced markers. The results show that the animations can be fixed but a better training set for the neural network is required for better resultsen
dc.language.isoengen
dc.publisherΠανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.rightsOpen Accessen
dc.titleImplementation of mocap solver algorithm on motion captures to improve accuracy and performanceen
dc.title.alternativeΕφαρμογή αλγόριθμου mocap solver σε αρχεία καταγραφής κίνησης για βελτίωση ακρίβειας και απόδοσηςel
dc.typeinfo:eu-repo/semantics/masterThesisen
dc.contributor.committeememberKakas, Antonisen
dc.contributor.committeememberPattichis, Constantinosen
dc.contributor.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.subject.uncontrolledtermMOTION CAPTUREen
dc.subject.uncontrolledtermCOMPUTER CRAPHICS ANIMATIONen
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeMaster Thesisen
dc.contributor.orcidPanayiotou, Markos [0000-0001-8396-083X]
dc.contributor.orcidAristidou, Andreas [0000-0001-7754-0791]


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