A frequency domain approach to roto-translation estimation using gradient cross-correlation

A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as w...

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Main Authors: Tzimiropoulos, Georgios, Argyriou, Vasileios, Stathaki, Tania
Format: Conference or Workshop Item
Published: 2008
Online Access:https://eprints.nottingham.ac.uk/31414/
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author Tzimiropoulos, Georgios
Argyriou, Vasileios
Stathaki, Tania
author_facet Tzimiropoulos, Georgios
Argyriou, Vasileios
Stathaki, Tania
author_sort Tzimiropoulos, Georgios
building Nottingham Research Data Repository
collection Online Access
description A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as well as noise, a scenario for which other Fourier- based methods typically fail. Robustness and accuracy in conjunction with computational efficiency, offered by the frequency domain formulation, make the algorithm useful in a number of image processing tasks such as image registration.
first_indexed 2025-11-14T19:12:20Z
format Conference or Workshop Item
id nottingham-31414
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:12:20Z
publishDate 2008
recordtype eprints
repository_type Digital Repository
spelling nottingham-314142020-05-04T16:27:54Z https://eprints.nottingham.ac.uk/31414/ A frequency domain approach to roto-translation estimation using gradient cross-correlation Tzimiropoulos, Georgios Argyriou, Vasileios Stathaki, Tania A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as well as noise, a scenario for which other Fourier- based methods typically fail. Robustness and accuracy in conjunction with computational efficiency, offered by the frequency domain formulation, make the algorithm useful in a number of image processing tasks such as image registration. 2008-09-02 Conference or Workshop Item PeerReviewed Tzimiropoulos, Georgios, Argyriou, Vasileios and Stathaki, Tania (2008) A frequency domain approach to roto-translation estimation using gradient cross-correlation. In: British Machine Vision Conference (BMVC 2008), 1-4 September 2008, Leeds, UK. http://www.bmva.org/bmvc/2008/papers/211.html
spellingShingle Tzimiropoulos, Georgios
Argyriou, Vasileios
Stathaki, Tania
A frequency domain approach to roto-translation estimation using gradient cross-correlation
title A frequency domain approach to roto-translation estimation using gradient cross-correlation
title_full A frequency domain approach to roto-translation estimation using gradient cross-correlation
title_fullStr A frequency domain approach to roto-translation estimation using gradient cross-correlation
title_full_unstemmed A frequency domain approach to roto-translation estimation using gradient cross-correlation
title_short A frequency domain approach to roto-translation estimation using gradient cross-correlation
title_sort frequency domain approach to roto-translation estimation using gradient cross-correlation
url https://eprints.nottingham.ac.uk/31414/
https://eprints.nottingham.ac.uk/31414/