Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/197581
Title: | Graph convolutional networks for 3D garment registration |
Author: | Morales Carrasco, Ángel |
Director/Tutor: | Madadi, Meysam |
Keywords: | Aprenentatge automàtic Xarxes neuronals convolucionals Programari Treballs de fi de grau Teoria de grafs Visualització tridimensional Machine learning Convolutional neural networks Computer software Graph theory Three-dimensional display systems Bachelor's theses |
Issue Date: | 13-Jun-2022 |
Abstract: | [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. |
Note: | Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Meysam Madadi |
URI: | http://hdl.handle.net/2445/197581 |
Appears in Collections: | Programari - Treballs de l'alumnat Treballs Finals de Grau (TFG) - Enginyeria Informàtica |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
tfg_mortales_carrasco_angel.pdf | 2.42 MB | Adobe PDF | View/Open | |
codi_font.zip | 63.81 MB | zip | View/Open |
This item is licensed under a Creative Commons License