Homography generation for image registration in inlier-poor domains
Abstract
A method for efficient image registration between two images in the presence of inlier-poor domains includes receiving a set of candidate correspondences between the two images. An approximate homography between the two images is generated based upon a first correspondence in the correspondences. The set of candidate correspondences is filtered to identify inlier correspondences based upon the approximate homography. A candidate homography is computed based upon the inlier correspondences. The candidate homography can be selected as a final homography between the two images based upon a support of the candidate homography against the set of candidate correspondences. An image registration is performed between the two images based upon the candidate homography being selected as the final homography.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1987052
- Patent Number(s):
- 11557019
- Application Number:
- 17/118,805
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 12/11/2020
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Gonzales, Antonio, Perkins, Tony, and Monical, Cara Patricia. Homography generation for image registration in inlier-poor domains. United States: N. p., 2023.
Web.
Gonzales, Antonio, Perkins, Tony, & Monical, Cara Patricia. Homography generation for image registration in inlier-poor domains. United States.
Gonzales, Antonio, Perkins, Tony, and Monical, Cara Patricia. Tue .
"Homography generation for image registration in inlier-poor domains". United States. https://www.osti.gov/servlets/purl/1987052.
@article{osti_1987052,
title = {Homography generation for image registration in inlier-poor domains},
author = {Gonzales, Antonio and Perkins, Tony and Monical, Cara Patricia},
abstractNote = {A method for efficient image registration between two images in the presence of inlier-poor domains includes receiving a set of candidate correspondences between the two images. An approximate homography between the two images is generated based upon a first correspondence in the correspondences. The set of candidate correspondences is filtered to identify inlier correspondences based upon the approximate homography. A candidate homography is computed based upon the inlier correspondences. The candidate homography can be selected as a final homography between the two images based upon a support of the candidate homography against the set of candidate correspondences. An image registration is performed between the two images based upon the candidate homography being selected as the final homography.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {1}
}
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