# name
Graph convolutional networks for 3D garment registration

# metadata.dc.description[].value
Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Meysam Madadi

# metadata.dc.description.abstract[].value
[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.

# metadata.dc.rights[].value
memòria: cc-nc-nd (c) Ángel Morales Carrasco, 2022

# metadata.dc.rights[].value
codi: GPL (c) Ángel Morales Carrasco, 2022

# metadata.dc.source[].value
Treballs Finals de Grau (TFG) - Enginyeria Informàtica

# metadata.dc.title[].value
Graph convolutional networks for 3D garment registration