Improving the cost-volume based local stereo matching algorithm [Maliyet-hacim tabanli yerel stereo eşleştirme algoritmasinin iyileştirilmesi]

dc.contributor.authorEmlek A.
dc.contributor.authorPeker M.
dc.contributor.authorYalçin M.K.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2018
dc.departmentNiğde ÖHÜ
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netas
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780
dc.description.abstractAdaptive support weights (ASW) are one of the best methods for matching costs in local stereo matching algorithms. In the literature, the most common method is guided filter for calculating the support weight. Guided filter-based methods generally apply the right-left consistency check during the disparity refinement process. However, this process requires the two difference maps which are obtained by taking the reference of the right image and the left image. In this case, since two difference maps need to be obtained, the processing load is almost doubled. With the proposed algorithm, the difference map for the left image is obtained with the winner-take-all (WTA) method after the costs are calculated with the help of the guided filter. Later on, this difference map has been corrected with the help of the cross-based window approach, by this, both the performance was improved and the processing costs were reduced, this resulted in a nearly twofold reducement in terms of the processing time. The results obtained were tested in the Middlebury dataset. © 2018 IEEE.
dc.identifier.doi10.1109/SIU.2018.8404533
dc.identifier.endpage4
dc.identifier.isbn9.78154E+12
dc.identifier.scopus2-s2.0-85050795884
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2018.8404533
dc.identifier.urihttps://hdl.handle.net/11480/1631
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCross-Based window
dc.subjectGuided Filter
dc.subjectStereo matching
dc.titleImproving the cost-volume based local stereo matching algorithm [Maliyet-hacim tabanli yerel stereo eşleştirme algoritmasinin iyileştirilmesi]
dc.typeConference Object

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