Diving between depth prediction and depth completion

Conti, Andrea (2020) Diving between depth prediction and depth completion. [Laurea magistrale], Università di Bologna, Corso di Studio in Ingegneria informatica [LM-DM270], Documento full-text non disponibile
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Depth perception matters in many different industrial and scientific applications as self-driving cars and augmented reality. The raise of artificial intelligence usage in the last decade has also opened new horizons leading to effective techniques to predict depth from cheap and robust single cameras moreover active depth sensing techniques as LiDARs are becoming cheaper and miniaturized to the point that they can be installed into smartphones leading to robust depth completion methods. This thesis aims to increase the knowledge in the field analyzing the relationship between deep learning applied to depth prediction and depth completion by means of the proposal of architectures capable to perform both tasks and more.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Conti, Andrea
Relatore della tesi
Correlatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
depth completion,depth prediction,computer vision,deep learning,machine learning
Data di discussione della Tesi
3 Dicembre 2020

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