Performance of Interpolated Histogram of Oriented Gradients on the Feature Calculation of SIFT

Basit Öğe Kaydı
dc.authoridOzturk, Ali/0000-0001-8258-6030
dc.contributor.authorOzturk, Ali
dc.contributor.authorCayiroglu, Ibrahim
dc.date.accessioned2024-09-29T16:12:22Z
dc.date.available2024-09-29T16:12:22Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractScale Invariant Feature Transform (SIFT) is the most dominant and robust object detection algorithm. It utilizes the Histogram of Oriented Gradients (HOG) method for feature computation. HOG is applied with trilinear interpolation to gain performance improvement. This paper examines the effect of interpolation on the performance of SIFT on both OXFORD and HPatches datasets. The various algorithms of interpolation for HOG, and the spatial binning process algorithm, are presented here. The performance is evaluated with Intersection Over Union, Correct Match Percentage, as well as the execution time of the algorithms. Moreover, we used the multiplication of the Intersection Over Union and Correct Match Percentage to take advantage of both metrics. It was observed that the interpolation did not significantly affect the performance of the SIFT.en_US
dc.identifier.endpage94en_US
dc.identifier.issn1582-7445
dc.identifier.issn1844-7600
dc.identifier.issue3en_US
dc.identifier.startpage87en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8721
dc.identifier.volume22en_US
dc.identifier.wosWOS:000861021000010en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherUniv Suceava, Fac Electrical Engen_US
dc.relation.ispartofAdvances in Electrical and Computer Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectmage processingen_US
dc.subjectcomputer visionen_US
dc.subjectimage analysisen_US
dc.subjectfeature extractionen_US
dc.subjectobject detectionen_US
dc.titlePerformance of Interpolated Histogram of Oriented Gradients on the Feature Calculation of SIFTen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu