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Print ISSN: 1582-7445
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doi: 10.4316/AECE


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  3/2022 - 10
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Performance of Interpolated Histogram of Oriented Gradients on the Feature Calculation of SIFT

OZTURK, A. See more information about OZTURK, A. on SCOPUS See more information about OZTURK, A. on IEEExplore See more information about OZTURK, A. on Web of Science, CAYIROGLU, I. See more information about CAYIROGLU, I. on SCOPUS See more information about CAYIROGLU, I. on SCOPUS See more information about CAYIROGLU, I. on Web of Science
 
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Download PDF pdficon (1,794 KB) | Citation | Downloads: 113 | Views: 125

Author keywords
image processing, computer vision, image analysis, feature extraction, object detection

References keywords
vision(9), image(9), scale(8), recognition(7), pattern(7), invariant(6), processing(5), local(5), feature(5), space(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2022-08-31
Volume 22, Issue 3, Year 2022, On page(s): 87 - 94
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.03010
SCOPUS ID: 85137667974

Abstract
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Scale 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.


References | Cited By  «-- Click to see who has cited this paper

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References Weight

Web of Science® Citations for all references: 58,572 TCR
SCOPUS® Citations for all references: 90,466 TCR

Web of Science® Average Citations per reference: 2,092 ACR
SCOPUS® Average Citations per reference: 3,231 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2022-09-26 12:39 in 141 seconds.




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