Improved image-based localization using sfm and modified coordinate system transfer

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage3310en_US
dc.citation.issueNumber12en_US
dc.citation.spage3298en_US
dc.citation.volumeNumber20en_US
dc.contributor.authorSalarian, M.en_US
dc.contributor.authorIliev, N.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorAnsari, R.en_US
dc.date.accessioned2019-02-21T16:05:43Z
dc.date.available2019-02-21T16:05:43Z
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractAccurate localization of mobile devices based on camera-acquired visual media information usually requires a search over a very large GPS-referenced image database collected from social sharing websites like Flickr or services such as Google Street View. This paper proposes a new method for reliable estimation of the actual query camera location by optimally utilizing structure from motion (SFM) for three-dimensional (3-D) camera position reconstruction, and introducing a new approach for applying a linear transformation between two different 3-D Cartesian coordinate systems. Since the success of SFM hinges on effectively selecting among the multiple retrieved images, we propose an optimization framework to do this using the criterion of the highest intraclass similarity among images returned from retrieval pipeline to increase SFM convergence rate. The selected images along with the query are then used to reconstruct a 3-D scene and find the relative camera positions by employing SFM. In the last processing step, an effective camera coordinate transformation algorithm is introduced to estimate the query's geo-tag. The influence of the number of images involved in SFM on the ultimate position error is investigated by examining the use of three and four dataset images with different solution for calculating the query world coordinates. We have evaluated our proposed method on query images with known accurate ground truth. Experimental results are presented to demonstrate that our method outperforms other reported methods in terms of average error.
dc.identifier.doi10.1109/TMM.2018.2839893
dc.identifier.issn1520-9210
dc.identifier.urihttp://hdl.handle.net/11693/50269
dc.language.isoEnglish
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.isversionofhttps://doi.org/10.1109/TMM.2018.2839893
dc.source.titleIEEE Transactions on Multimediaen_US
dc.subjectBOFen_US
dc.subjectGPS uncertaintyen_US
dc.subjectImage-based localizationen_US
dc.subjectRetrievalen_US
dc.titleImproved image-based localization using sfm and modified coordinate system transferen_US
dc.typeArticleen_US
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