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dc.contributorHoungyu, Ly
dc.contributor.authorEscolà Vergé, Guillem
dc.date.accessioned2011-01-12T16:20:29Z
dc.date.available2011-01-12T16:20:29Z
dc.date.issued2009
dc.identifier.urihttp://hdl.handle.net/2099.1/10767
dc.description.abstractThis thesis shows a new method to perform video interpolation between two di erent human motions in a natural way. The main objective of the method is to provide a natural interpolation in terms of speed, similarity and geometry. To achieve it we use Local Linear embedding (LLE), performing dimensionality reduction to nd in the low dimensional space the transition frames and the number of frames to be interpolated. Then we apply K-means clustering in a 9 dimensional space to distinguish between corresponding body parts in the two transition frames. Finally we will interpolate the corresponding regions with di erent morphing methods. The method show great results when applied in motions that go through similar poses. The thesis also provides a robust method to perform foreground extraction.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.publisherTong ji da xue (Xina)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Infografia
dc.subject.lcshHuman mechanic
dc.subject.lcshPattern recognition systems
dc.subject.lcshComputer graphic
dc.subject.lcshDigital video
dc.titleHuman motion interpolation. New Method.
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacMecànica humana
dc.subject.lemacReconeixement de formes (Informàtica)
dc.subject.lemacInfografia
dc.subject.lemacVídeo digital
dc.rights.accessRestricted access - author's decision
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona
dc.provenanceAquest document conté originàriament altre material i/o programari no inclòs en aquest lloc web
dc.description.mobilityOutgoing


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