Thesis Details

Detekce kvádrů-krabic v obraze

Bachelor's Thesis Student: Žitňanský Adam Academic Year: 2020/2021 Supervisor: Herout Adam, prof. Ing., Ph.D.
English title
Detection of Boxes in Image
Language
Czech
Abstract

This thesis addresses the problem of cuboid detection, more specifically boxes detection in images. The main result is the implementation of a system for boxes detection based on corners and edges. The system consists of a CNN regression-based corner and edge points detector and decoder, which takes CNN output and turns it into a 2d model of the cuboid. As a part of this work also a a dataset of boxes with 550 images with corners and edges annotations was created

Keywords

convolutional neural networks, computer vision, object detection, keypoint detection, cuboid detection, Stacked Hourglass Network

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade A
Date
15 June 2021
Reviewer
Špaňhel Jakub, Ing.
Committee
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Citation
ŽITŇANSKÝ, Adam. Detekce kvádrů-krabic v obraze. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-15. Supervised by Herout Adam. Available from: https://www.fit.vut.cz/study/thesis/23988/
BibTeX 
@bachelorsthesis{FITBT23988,
    author = "Adam \v{Z}it\v{n}ansk\'{y}",
    type = "Bachelor's thesis",
    title = "Detekce kv\'{a}dr\r{u}-krabic v obraze",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23988/"
}

Theses

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