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Image matching via progressive priors
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  • weiqing wang,
  • Yongrong SUN,
  • Kedong Zhao,
  • Zhong Liu,
  • wenjun luo,
  • jinchang qin
weiqing wang
Guilin University of Aerospace Technology

Corresponding Author:[email protected]

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Yongrong SUN
NUAA
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Kedong Zhao
Nanjing University of Aeronautics and Astronautics
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Zhong Liu
Guilin University of Aerospace Technology
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wenjun luo
Guilin University of Aerospace Technology
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jinchang qin
Guilin University of Aerospace Technology
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Abstract

It is a challenging issue how to improve the accuracy of image matching in computer vision. To address this issue, an image matching method is proposed, which is via progressive priors of a putative dataset. Distance ratio priors of a putative dataset are initially employed to calculate a tentative deformation through geometric constraints. Progressive priors of the putative dataset, obtained by the tentative deformation, are then engaged to improve the accuracy of image matching by estimating a global deformation. The comparison experiments illustrate that our proposed method more effectively enhances the accuracy of image matching than six state-of-the-art methods.
14 May 2022Submitted to Electronics Letters
15 May 2022Submission Checks Completed
15 May 2022Assigned to Editor
24 May 2022Reviewer(s) Assigned
07 Jul 2022Review(s) Completed, Editorial Evaluation Pending
18 Jul 2022Editorial Decision: Revise Minor
21 Jul 20221st Revision Received
24 Jul 2022Submission Checks Completed
24 Jul 2022Assigned to Editor
24 Jul 2022Review(s) Completed, Editorial Evaluation Pending
25 Jul 2022Editorial Decision: Accept
Sep 2022Published in Electronics Letters volume 58 issue 19 on pages 729-731. 10.1049/ell2.12590