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Carlo Morandi

dblp:44/4137 · DBLP profile ↗
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2ranked-venue papers
0as 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 · 2

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
2 papers
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
0.021987
Registration of Translated and Rotated Images Using Finite Fourier Transforms · IEEE Trans. Pattern Anal. Mach. Intell. 1987
Digital Image Registration Using Projections · IEEE Trans. Pattern Anal. Mach. Intell. 1986
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

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

phase correlation · 0.0fourier transform · 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.2
1986 Digital Image Registration Using Projections
abstract
In many application fields (e.g., aerospace and biomedical image processing), one has to deal with a sequence of images whose observation is made difficult by unpredictable relative movements of the camera and the scene. In order to obtain a stable display, the displacement of each image in the sequence with respect to one chosen as a reference must be preliminarily determined. This would usually require two-dimensional algorithms, involving a considerable computational effort. This work discusses a new algorithm for image registration, which requires only one-dimensional Fourier transformations. Preliminary experimental results are reported.
Stefano Alliney, Carlo Morandi
IEEE Trans. Pattern Anal. Mach. Intell.2