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Circular coded target system for industrial applications

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F21%3APU138559" target="_blank" >RIV/00216305:26210/21:PU138559 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s00138-020-01159-1" target="_blank" >https://link.springer.com/article/10.1007/s00138-020-01159-1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00138-020-01159-1" target="_blank" >10.1007/s00138-020-01159-1</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Circular coded target system for industrial applications

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    MACHINE VISION AND APPLICATIONS

  • ISSN

    0932-8092

  • e-ISSN

    1432-1769

  • Volume of the periodical

    32

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000608054500001

  • EID of the result in the Scopus database

    2-s2.0-85099416256