Efficient Local Image Descriptors
- 作者: Lukianitsa A.A.1
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隶属关系:
- Faculty of Computational Mathematics and Cybernetics, Moscow State University
- 期: 卷 28, 编号 2 (2017)
- 页面: 237-244
- 栏目: Article
- URL: https://ogarev-online.ru/1046-283X/article/view/247602
- DOI: https://doi.org/10.1007/s10598-017-9360-7
- ID: 247602
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详细
We consider descriptors in polar and log-polar coordinates that produce compact description of the image near interest points. These descriptors may be used to establish one-to-one correspondence between points in two images. Algorithms to compute these descriptors are described and the results of a numerical experiment comparing them with SIFT and SURF descriptors are reported. The numerical experiment suggests that the proposed descriptors are highly efficient for finding conjugate points in two images.
作者简介
A. Lukianitsa
Faculty of Computational Mathematics and Cybernetics, Moscow State University
编辑信件的主要联系方式.
Email: andrei.luk@gmail.com
俄罗斯联邦, Moscow
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