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A new control mark for photogrammetry and its localization from single image using computer vision

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F17%3A10237596" target="_blank" >RIV/61989100:27350/17:10237596 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0920548917300740" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0920548917300740</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.csi.2017.09.003" target="_blank" >10.1016/j.csi.2017.09.003</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A new control mark for photogrammetry and its localization from single image using computer vision

  • Original language description

    Computer Vision takes part in many industrial applications mainly in robotics and measurement systems. Geodesy uses computer vision rather indirectly using specialized software tools for measurements of data captured with digital cameras or LIDAR systems. This paper describes new control mark and its advantages for deformation measurements, and surface reconstruction. Furthermore, we describe control mark detection method using computer vision algorithms, and its localization from single image. We also compare this method to spatial polar method.

  • 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

    10508 - Physical geography

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Computer Standards and Interfaces

  • ISSN

    0920-5489

  • e-ISSN

  • Volume of the periodical

    56

  • Issue of the periodical within the volume

    February 2018

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    41-48

  • UT code for WoS article

    000419417400004

  • EID of the result in the Scopus database

    2-s2.0-85028984461