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Detecting Square Markers in Underwater Environments

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F19%3A00109431" target="_blank" >RIV/00216224:14330/19:00109431 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3390/rs11040459" target="_blank" >http://dx.doi.org/10.3390/rs11040459</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/rs11040459" target="_blank" >10.3390/rs11040459</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Detecting Square Markers in Underwater Environments

  • Original language description

    Augmented reality can be deployed in various application domains, such as enhancing human vision, manufacturing, medicine, military, entertainment, and archeology. One of the least explored areas is the underwater environment. The main benefit of augmented reality in these environments is that it can help divers navigate to points of interest or present interesting information about archaeological and touristic sites (e.g., ruins of buildings, shipwrecks). However, the harsh sea environment affects computer vision algorithms and complicates the detection of objects, which is essential for augmented reality. This paper presents a new algorithm for the detection of fiducial markers that is tailored to underwater environments. It also proposes a method that generates synthetic images with such markers in these environments. This new detector is compared with existing solutions using synthetic images and images taken in the real world, showing that it performs better than other detectors: it finds more markers than faster algorithms and runs faster than robust algorithms that detect the same amount of markers.

  • 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

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Remote Sensing

  • ISSN

    2072-4292

  • e-ISSN

    2072-4292

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    23

  • Pages from-to

    1-23

  • UT code for WoS article

    000460766100089

  • EID of the result in the Scopus database

    2-s2.0-85062504700