ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION

Application of nonparametric transformations for construction of local image features descriptors is considered. An approach based on scalable Bresenham circles for multiring nonparametric transformations is proposed. A problem of finding characteristic points (corners) in images is solved using two...

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Main Authors: G. A. Butkin, I. A. Emelianov, A. V. Tuzikov
Format: Article
Language:Russian
Published: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2017-03-01
Series:Informatika
Online Access:https://inf.grid.by/jour/article/view/198
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spelling doaj-cedec30f44014823acf1c27e71ca8ecf2021-07-28T21:07:23ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus Informatika1816-03012017-03-0101(53)2030197ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATIONG. A. Butkin0I. A. Emelianov1A. V. Tuzikov2Объединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиОбъединенный институт проблем информатики НАН БеларусиApplication of nonparametric transformations for construction of local image features descriptors is considered. An approach based on scalable Bresenham circles for multiring nonparametric transformations is proposed. A problem of finding characteristic points (corners) in images is solved using two rings of small radius. Then, considering rings of greater radius a final decision is made concerning local features under investigation. Testing results of proposed local descriptors have demonstrated their competitiveness with known descriptors.https://inf.grid.by/jour/article/view/198
collection DOAJ
language Russian
format Article
sources DOAJ
author G. A. Butkin
I. A. Emelianov
A. V. Tuzikov
spellingShingle G. A. Butkin
I. A. Emelianov
A. V. Tuzikov
ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
Informatika
author_facet G. A. Butkin
I. A. Emelianov
A. V. Tuzikov
author_sort G. A. Butkin
title ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
title_short ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
title_full ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
title_fullStr ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
title_full_unstemmed ALGORITHMS FOR CONSTRUCTING THE DESCRIPTORS OF LOCAL IMAGE FEATURES BASED ON MULTIRING NONPARAMETRIC TRANSFORMATION
title_sort algorithms for constructing the descriptors of local image features based on multiring nonparametric transformation
publisher The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
series Informatika
issn 1816-0301
publishDate 2017-03-01
description Application of nonparametric transformations for construction of local image features descriptors is considered. An approach based on scalable Bresenham circles for multiring nonparametric transformations is proposed. A problem of finding characteristic points (corners) in images is solved using two rings of small radius. Then, considering rings of greater radius a final decision is made concerning local features under investigation. Testing results of proposed local descriptors have demonstrated their competitiveness with known descriptors.
url https://inf.grid.by/jour/article/view/198
work_keys_str_mv AT gabutkin algorithmsforconstructingthedescriptorsoflocalimagefeaturesbasedonmultiringnonparametrictransformation
AT iaemelianov algorithmsforconstructingthedescriptorsoflocalimagefeaturesbasedonmultiringnonparametrictransformation
AT avtuzikov algorithmsforconstructingthedescriptorsoflocalimagefeaturesbasedonmultiringnonparametrictransformation
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