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E. De Castro

dblp:95/9374 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image registration
fourier-based registration		 0.011987
Registration of Translated and Rotated Images Using Finite Fourier Transforms · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Image and video processing
image registration		 0.011987
Registration of Translated and Rotated Images Using Finite Fourier Transforms · IEEE Trans. Pattern Anal. Mach. Intell. 1987

Methods — techniques the papers use, named apart from their topics

phase correlation · 0.0finite fourier transform · 0.0
YearPublicationVenuePosition
1987 Registration of Translated and Rotated Images Using Finite Fourier Transforms
abstract
A well-known method for image registration is based on a conventional correlation between phase-only, or whitened, versions of the two images to be realigned. The method, covering rigid translational movements, is characterized by an outstanding robustness against correlated noise and disturbances, such as those encountered with nonuniform, time varying illumination. This correspondence discusses an extension of the method to cover both translational and rotational movements.
E. De Castro, Carlo Morandi
 IEEE Trans. Pattern Anal. Mach. Intell.1