A non cartesian FFT approach to image alignment

Y. Keller; Y. Shkolnisky; A. Averbuch

doi:10.1109/ICIP.2005.1530575

A non cartesian FFT approach to image alignment

Y. Keller^*, Y. Shkolnisky, A. Averbuch

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The estimation of large motions without prior knowledge is an important problem in image registration. In this paper we present the angular difference function (ADF) and demonstrate its applicability to rotation estimation. The ADF of two functions is defined as the integral of their spectral difference along the radial direction. It is efficiently computed using the pseudo-polar Fourier transform, which computes the discrete Fourier transform of an image on a near spherical grid. Unlike other Fourier based registration schemes, the suggested approach does not require any interpolation. Thus, it is more accurate and significantly faster.

Original language	English
Title of host publication	IEEE International Conference on Image Processing 2005, ICIP 2005
Publisher	IEEE Computer Society
Pages	50-53
Number of pages	4
ISBN (Print)	0780391349, 9780780391345
DOIs	https://doi.org/10.1109/ICIP.2005.1530575
State	Published - 2005
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: 11 Sep 2005 → 14 Sep 2005

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	3
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	11/09/05 → 14/09/05

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10.1109/ICIP.2005.1530575

Cite this

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title = "A non cartesian FFT approach to image alignment",

abstract = "The estimation of large motions without prior knowledge is an important problem in image registration. In this paper we present the angular difference function (ADF) and demonstrate its applicability to rotation estimation. The ADF of two functions is defined as the integral of their spectral difference along the radial direction. It is efficiently computed using the pseudo-polar Fourier transform, which computes the discrete Fourier transform of an image on a near spherical grid. Unlike other Fourier based registration schemes, the suggested approach does not require any interpolation. Thus, it is more accurate and significantly faster.",

author = "Y. Keller and Y. Shkolnisky and A. Averbuch",

year = "2005",

doi = "10.1109/ICIP.2005.1530575",

language = "אנגלית",

isbn = "0780391349",

series = "Proceedings - International Conference on Image Processing, ICIP",

publisher = "IEEE Computer Society",

pages = "50--53",

booktitle = "IEEE International Conference on Image Processing 2005, ICIP 2005",

address = "ארצות הברית",

note = "null ; Conference date: 11-09-2005 Through 14-09-2005",

}

Keller, Y, Shkolnisky, Y & Averbuch, A 2005, A non cartesian FFT approach to image alignment. in IEEE International Conference on Image Processing 2005, ICIP 2005., 1530575, Proceedings - International Conference on Image Processing, ICIP, vol. 3, IEEE Computer Society, pp. 50-53, IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, Italy, 11/09/05. https://doi.org/10.1109/ICIP.2005.1530575

A non cartesian FFT approach to image alignment. / Keller, Y.; Shkolnisky, Y.; Averbuch, A.

IEEE International Conference on Image Processing 2005, ICIP 2005. IEEE Computer Society, 2005. p. 50-53 1530575 (Proceedings - International Conference on Image Processing, ICIP; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shkolnisky, Y.

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N2 - The estimation of large motions without prior knowledge is an important problem in image registration. In this paper we present the angular difference function (ADF) and demonstrate its applicability to rotation estimation. The ADF of two functions is defined as the integral of their spectral difference along the radial direction. It is efficiently computed using the pseudo-polar Fourier transform, which computes the discrete Fourier transform of an image on a near spherical grid. Unlike other Fourier based registration schemes, the suggested approach does not require any interpolation. Thus, it is more accurate and significantly faster.

AB - The estimation of large motions without prior knowledge is an important problem in image registration. In this paper we present the angular difference function (ADF) and demonstrate its applicability to rotation estimation. The ADF of two functions is defined as the integral of their spectral difference along the radial direction. It is efficiently computed using the pseudo-polar Fourier transform, which computes the discrete Fourier transform of an image on a near spherical grid. Unlike other Fourier based registration schemes, the suggested approach does not require any interpolation. Thus, it is more accurate and significantly faster.

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M3 - פרסום בספר כנס

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BT - IEEE International Conference on Image Processing 2005, ICIP 2005

PB - IEEE Computer Society

Y2 - 11 September 2005 through 14 September 2005

ER -

A non cartesian FFT approach to image alignment

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