Detail publikačního výsledku

Circular coded target system for industrial applications

HURNÍK, J.; ZATOČILOVÁ, A.; PALOUŠEK, D.

Originální název

Circular coded target system for industrial applications

Anglický název

Circular coded target system for industrial applications

Druh

Článek WoS

Originální abstrakt

Coded targets are used as reference targets with a known location during camera calibration, for robust searching of corresponding features between images during various applications of machine vision like object tracking, robot navigation or 3D measurement. In this paper, a target system for industrial photogrammetric applications is outlined. The methods which have been chosen emphasize maximum robustness, along with accuracy at the expense of computational efficiency, since photogrammetric measurements are mainly evaluated offline. The outlined system combines widely used photogrammetric circular coded target design with an automatic library generator. It also utilizes robust methods of target detection and recognition with error correction (in case of 60 15-bit targets, up to 1 bit confused or 2 bits occluded) along with preserving the low false-positive or confusion rate. Any error correction method for this type of targets was not introduced before. The solution also allows for the creation of versatile target libraries or to work with the existing target libraries of a number of commercial photogrammetric systems. The properties of the target system were tested under challenging conditions (including heavy noise, blur, occlusion and geometrical image transformations) and compared to state-of-the-art systems, e.g. TRITOP (GOM), or ArUco, which it outperforms. The target system is already used for the camera calibration of a specialized photogrammetric system utilized in the heavy industry environment.

Anglický abstrakt

Coded targets are used as reference targets with a known location during camera calibration, for robust searching of corresponding features between images during various applications of machine vision like object tracking, robot navigation or 3D measurement. In this paper, a target system for industrial photogrammetric applications is outlined. The methods which have been chosen emphasize maximum robustness, along with accuracy at the expense of computational efficiency, since photogrammetric measurements are mainly evaluated offline. The outlined system combines widely used photogrammetric circular coded target design with an automatic library generator. It also utilizes robust methods of target detection and recognition with error correction (in case of 60 15-bit targets, up to 1 bit confused or 2 bits occluded) along with preserving the low false-positive or confusion rate. Any error correction method for this type of targets was not introduced before. The solution also allows for the creation of versatile target libraries or to work with the existing target libraries of a number of commercial photogrammetric systems. The properties of the target system were tested under challenging conditions (including heavy noise, blur, occlusion and geometrical image transformations) and compared to state-of-the-art systems, e.g. TRITOP (GOM), or ArUco, which it outperforms. The target system is already used for the camera calibration of a specialized photogrammetric system utilized in the heavy industry environment.

Klíčová slova

Circular coded target; CCT; Coded target; Fiducial marker; Camera calibration; Photogrammetry

Klíčová slova v angličtině

Circular coded target; CCT; Coded target; Fiducial marker; Camera calibration; Photogrammetry

Autoři

HURNÍK, J.; ZATOČILOVÁ, A.; PALOUŠEK, D.

Rok RIV

2022

Vydáno

15.01.2021

Nakladatel

SPRINGER

Místo

NEW YORK

ISSN

0932-8092

Periodikum

Machine vision and applications

Svazek

32

Číslo

1

Stát

Spolková republika Německo

Strany od

1

Strany do

14

Strany počet

14

URL

BibTex

@article{BUT168017,
  author="Jakub {Hurník} and Aneta {Zatočilová} and David {Paloušek}",
  title="Circular coded target system for industrial applications",
  journal="Machine vision and applications",
  year="2021",
  volume="32",
  number="1",
  pages="1--14",
  doi="10.1007/s00138-020-01159-1",
  issn="0932-8092",
  url="https://link.springer.com/article/10.1007/s00138-020-01159-1"
}