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Document type

Bachelor thesis

Publication date

2022-06-13
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/197581

Graph convolutional networks for 3D garment registration

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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.

Description

Treballs Finals de Grau d'Enginyeria Informàtica, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2022, Director: Meysam Madadi

Subject

Aprenentatge automàtic, Xarxes neuronals convolucionals, Programari, Treballs de fi de grau, Teoria de grafs, Visualització tridimensional

Subject (English)

Machine learning, Convolutional neural networks, Computer software, Graph theory, Three-dimensional display systems, Bachelor's theses

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Treballs Finals de Grau (TFG) - Enginyeria Informàtica
Programari - Treballs de l'alumnat

Citation

MORALES CARRASCO, Ángel. Graph convolutional networks for 3D garment registration. [consulted: 16 of June of 2026]. Available at: https://hdl.handle.net/2445/197581

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