Thesis Details

Lokalizace šachových figurek na hrací ploše z fotografie

Bachelor's Thesis Student: Hampl Tomáš Academic Year: 2020/2021 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Visual Localization of Chess Pieces
Language
Czech
Abstract

The main goal of this thesis was to analyze state of the chess game and to locate chess pieces on the chessboard. Chessboard recognition is based on locating lines in image using Hough transform and PClines. The figures were detected by models of convolutional neural networks - YOLOv3, YOLOv4 and YOLOv4 tiny. Evaluation was perfomed on our data set. Chessboard detection achieves accuracy of 97%, complete localization of the state reaches 74,5% and piece localization 96%.

Keywords

camera calibration, PnP, homography, edge detection, Canny edge detector, Hough transform, parallel coordinates, PClines, convolutional neural network, YOLO, chessboard detection, figure detection

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
Citation
HAMPL, Tomáš. Lokalizace šachových figurek na hrací ploše z fotografie. Brno, 2021. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2021-06-14. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/23917/
BibTeX
@bachelorsthesis{FITBT23917,
    author = "Tom\'{a}\v{s} Hampl",
    type = "Bachelor's thesis",
    title = "Lokalizace \v{s}achov\'{y}ch figurek na hrac\'{i} plo\v{s}e z fotografie",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2021,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/23917/"
}
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