Thesis Details
Horizon Detection in Image
Bachelor's Thesis
Student: Holková Natália
Academic Year: 2020/2021
Supervisor: Juránek Roman, Ing., Ph.D.
Czech title
Detekce horizontu ve fotografii
Language
English
Abstract
This thesis aims to implement a method of detecting the horizon line in images using deep learning to prevent any constraints on input data. A training dataset is created by downloaded images from large metropolitan cities around the world using the Google Street View service. Several popular architectures for convolutional neural networks are chosen, and their performance is evaluated on existing benchmark datasets.
Keywords
CNN, neural network, deep learning, horizon line estimation, Keras, Google Colab
Department
Degree Programme
Information Technology
Files
Status
defended, grade C
Date
14 June 2021
Reviewer
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
HOLKOVÁ, Natália. Horizon Detection in Image. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-14. Supervised by Juránek Roman. Available from: https://www.fit.vut.cz/study/thesis/23282/
BibTeX
@bachelorsthesis{FITBT23282,
author = "Nat\'{a}lia Holkov\'{a}",
type = "Bachelor's thesis",
title = "Horizon Detection in Image",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2021,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/23282/"
}