Comparison of binary feature points descriptors of images under distortion conditions

The article is devoted to the review and analysis of binary descriptors of feature points of objects in digital images under distortion conditions. An overview of the BRIEF, ORB, BRISK, FREAK, AKAZE, LATCH methods is given. The evaluation of properties of the descriptors on sample images is performe...

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Main Authors: Eugene Krasnabayeu, Dmitriy Chistobayeu, Alexey Malyshev
Format: Article
Language:English
Published: Samara National Research University 2019-06-01
Series:Компьютерная оптика
Subjects:
Online Access:http://computeroptics.smr.ru/KO/PDF/KO43-3/430312.pdf
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spelling doaj-1a580b9597244b88916eeeb6f97fcbac2020-11-25T00:37:03ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792019-06-0143343444510.18287/2412-6179-2019-43-3-434-445Comparison of binary feature points descriptors of images under distortion conditionsEugene Krasnabayeu0Dmitriy Chistobayeu1Alexey Malyshev2Vitebsk State University named after P.M. Masherov, Vitebsk, Belarus;Design Bureau “Display”, Vitebsk, BelarusVitebsk State University named after P.M. Masherov, Vitebsk, Belarus;The article is devoted to the review and analysis of binary descriptors of feature points of objects in digital images under distortion conditions. An overview of the BRIEF, ORB, BRISK, FREAK, AKAZE, LATCH methods is given. The evaluation of properties of the descriptors on sample images is performed. The paper addresses problems of using these methods for real time image processing.http://computeroptics.smr.ru/KO/PDF/KO43-3/430312.pdfdigital image processingpattern recognitionimage analysisfeature detectionfeature descriptionfeature matching
collection DOAJ
language English
format Article
sources DOAJ
author Eugene Krasnabayeu
Dmitriy Chistobayeu
Alexey Malyshev
spellingShingle Eugene Krasnabayeu
Dmitriy Chistobayeu
Alexey Malyshev
Comparison of binary feature points descriptors of images under distortion conditions
Компьютерная оптика
digital image processing
pattern recognition
image analysis
feature detection
feature description
feature matching
author_facet Eugene Krasnabayeu
Dmitriy Chistobayeu
Alexey Malyshev
author_sort Eugene Krasnabayeu
title Comparison of binary feature points descriptors of images under distortion conditions
title_short Comparison of binary feature points descriptors of images under distortion conditions
title_full Comparison of binary feature points descriptors of images under distortion conditions
title_fullStr Comparison of binary feature points descriptors of images under distortion conditions
title_full_unstemmed Comparison of binary feature points descriptors of images under distortion conditions
title_sort comparison of binary feature points descriptors of images under distortion conditions
publisher Samara National Research University
series Компьютерная оптика
issn 0134-2452
2412-6179
publishDate 2019-06-01
description The article is devoted to the review and analysis of binary descriptors of feature points of objects in digital images under distortion conditions. An overview of the BRIEF, ORB, BRISK, FREAK, AKAZE, LATCH methods is given. The evaluation of properties of the descriptors on sample images is performed. The paper addresses problems of using these methods for real time image processing.
topic digital image processing
pattern recognition
image analysis
feature detection
feature description
feature matching
url http://computeroptics.smr.ru/KO/PDF/KO43-3/430312.pdf
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