Madadi, MeysamMorales Carrasco, Ángel2023-05-052023-05-052022-06-13https://hdl.handle.net/2445/197581Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Meysam Madadi[en] The registration of a 3D mesh consists of, given two 3D objects, establishing a correspondence vector for each vertex of one mesh with one of the second one. This process can be used to obtain realistic simulations. Specifically, in this project, I will build the registration of pieces of clothing on realistic models of human bodies. To do so, I will implement an unsupervised machine learning model, using Graph Convolutional Networks, which allow working with non-euclidean data structures, such as 3D objects. This could allow us to build in a fast and efficient way the registration of the garments.48 p.application/pdfengmemòria: cc-nc-nd (c) Ángel Morales Carrasco, 2022codi: GPL (c) Ángel Morales Carrasco, 2022http://www.gnu.org/licenses/gpl-3.0.ca.htmlhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/Aprenentatge automàticXarxes neuronals convolucionalsProgramariTreballs de fi de grauTeoria de grafsVisualització tridimensionalMachine learningConvolutional neural networksComputer softwareGraph theoryThree-dimensional display systemsBachelor's thesesGraph convolutional networks for 3D garment registrationinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/openAccess