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dc.contributor.authorKubíčková, Hana
dc.contributor.authorJedlička, Karel
dc.contributor.authorFiala, Radek
dc.contributor.authorBeran, Daniel
dc.date.accessioned2021-02-08T11:00:25Z-
dc.date.available2021-02-08T11:00:25Z-
dc.date.issued2020
dc.identifier.citationKUBÍČKOVÁ, H., JEDLIČKA, K., FIALA, R., BERAN, D. Indoor Positioning Using PnP Problem on Mobile Phone Images. ISPRS International journal of geo-information, 2020, roč. 9, č. 6. ISSN 2220-9964.cs
dc.identifier.issn2220-9964
dc.identifier.uri2-s2.0-85086242963
dc.identifier.urihttp://hdl.handle.net/11025/42616
dc.format18 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherMDPIen
dc.relation.ispartofseriesIsprs International Journal Of Geo-informationen
dc.rights© MDPIen
dc.titleIndoor Positioning Using PnP Problem on Mobile Phone Imagesen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedAs people grow accustomed to effortless outdoor navigation, there is a rising demand for similar possibilities indoors as well. Unfortunately, indoor localization, being one of the requirements for navigation, continues to be a problem without a clear solution. In this article, we are proposing a method for an indoor positioning system using a single image. This is made possible using a small preprocessed database of images with known control points as the only preprocessing needed. Using feature detection with the SIFT (Scale Invariant Feature Transform) algorithm, we can look through the database and find an image that is the most similar to the image taken by a user. Such a pair of images is then used to find coordinates of a database of images using the PnP problem. Furthermore, projection and essential matrices are determined to calculate the user image localization-determining the position of the user in the indoor environment. The benefits of this approach lie in the single image being the only input from a user and the lack of requirements for new onsite infrastructure. Thus, our approach enables a more straightforward realization for building management.en
dc.subject.translatedindoor positioning systemen
dc.subject.translatedimage-based positioning systemen
dc.subject.translatedcomputer visionen
dc.subject.translatedSIFTen
dc.subject.translatedfeature detectionen
dc.subject.translatedfeature descriptionen
dc.subject.translatedcell phone cameraen
dc.subject.translatedPnP problemen
dc.subject.translatedprojection matrixen
dc.subject.translatedepipolar geometryen
dc.subject.translatedOpenCVen
dc.identifier.doi10.3390/ijgi9060368
dc.type.statusPeer-revieweden
dc.identifier.document-number551060500001
dc.identifier.obd43930500
dc.project.IDSGS-2019-015/Využití matematiky a informatiky v geomatice IVcs
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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/42616

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