A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching

A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching

As the current binary descriptors have disadvantages of high computational complexity, no affine invariance, and the high false matching rate with viewpoint changes, a new binary affine invariant descriptor, called BAND, is proposed. Different from other descriptors, BAND has an irregular pattern, w...

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Main Authors: Xiujie Qu, Fei Zhao, Mengzhe Zhou, Haili Huo
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/129230
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spelling doaj-05328c8fc4584d72839937bf13b1b53b2020-11-24T23:28:25ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/129230129230A Novel Fast and Robust Binary Affine Invariant Descriptor for Image MatchingXiujie Qu0Fei Zhao1Mengzhe Zhou2Haili Huo3School of Information and Electronics, Beijing Institute Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute Technology, Beijing 100081, ChinaSchool of Information and Electronics, Beijing Institute Technology, Beijing 100081, ChinaAs the current binary descriptors have disadvantages of high computational complexity, no affine invariance, and the high false matching rate with viewpoint changes, a new binary affine invariant descriptor, called BAND, is proposed. Different from other descriptors, BAND has an irregular pattern, which is based on local affine invariant region surrounding a feature point, and it has five orientations, which are obtained by LBP effectively. Ultimately, a 256 bits binary string is computed by simple random sampling pattern. Experimental results demonstrate that BAND has a good matching result in the conditions of rotating, image zooming, noising, lighting, and small-scale perspective transformation. It has better matching performance compared with current mainstream descriptors, while it costs less time.http://dx.doi.org/10.1155/2014/129230
collection DOAJ
language English
format Article
sources DOAJ
author Xiujie Qu
Fei Zhao
Mengzhe Zhou
Haili Huo
spellingShingle Xiujie Qu
Fei Zhao
Mengzhe Zhou
Haili Huo
A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
Mathematical Problems in Engineering
author_facet Xiujie Qu
Fei Zhao
Mengzhe Zhou
Haili Huo
author_sort Xiujie Qu
title A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
title_short A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
title_full A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
title_fullStr A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
title_full_unstemmed A Novel Fast and Robust Binary Affine Invariant Descriptor for Image Matching
title_sort novel fast and robust binary affine invariant descriptor for image matching
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
description As the current binary descriptors have disadvantages of high computational complexity, no affine invariance, and the high false matching rate with viewpoint changes, a new binary affine invariant descriptor, called BAND, is proposed. Different from other descriptors, BAND has an irregular pattern, which is based on local affine invariant region surrounding a feature point, and it has five orientations, which are obtained by LBP effectively. Ultimately, a 256 bits binary string is computed by simple random sampling pattern. Experimental results demonstrate that BAND has a good matching result in the conditions of rotating, image zooming, noising, lighting, and small-scale perspective transformation. It has better matching performance compared with current mainstream descriptors, while it costs less time.
url http://dx.doi.org/10.1155/2014/129230
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AT hailihuo anovelfastandrobustbinaryaffineinvariantdescriptorforimagematching
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