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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorČejka, Jan-
dc.contributor.authorBruno, Fabio-
dc.contributor.authorSkarlatos, Dimitrios-
dc.contributor.authorLiarokapis, Fotis-
dc.date.accessioned2019-05-16T16:53:50Z-
dc.date.available2019-05-16T16:53:50Z-
dc.date.issued2019-02-01-
dc.identifier.citationRemote Sensing, 2019, vol.11, no. 4en_US
dc.identifier.issn20724292-
dc.description.abstractAugmented 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.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofRemote Sensingen_US
dc.rights© Multidisciplinary Digital Publishing Instituteen_US
dc.subjectAugmented realityen_US
dc.subjectCultural heritageen_US
dc.subjectGenerating synthetic imagesen_US
dc.subjectMarker-based trackingen_US
dc.subjectReal timeen_US
dc.titleDetecting square markers in underwater environmentsen_US
dc.typeArticleen_US
dc.collaborationMasaryk Universityen_US
dc.collaborationUniversity of Calabriaen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.countryItalyen_US
dc.countryCzech Republicen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/rs11040459en_US
dc.relation.issue4en_US
dc.relation.volume11en_US
cut.common.academicyear2018-2019en_US
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn2072-4292-
crisitem.journal.publisherMDPI-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2732-4780-
crisitem.author.orcid0000-0003-3617-2261-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
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