A non Cartesian FFT approach to image alignment

Y. Keller; Yoel Shkolnisky; Amir Averbuch

A non Cartesian FFT approach to image alignment

Y. Keller, Yoel Shkolnisky, Amir Averbuch

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

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	American English
Title of host publication	IEEE International Conference on Image Processing
Publisher	IEEE
State	Published - 2005

Bibliographical note

Place of conference:Italy

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 Yoel Shkolnisky and Amir Averbuch",

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year = "2005",

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T1 - A non Cartesian FFT approach to image alignment

AU - Keller, Y.

AU - Shkolnisky, Yoel

AU - Averbuch, Amir

N1 - Place of conference:Italy

PY - 2005

Y1 - 2005

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.

UR - https://scholar.google.co.il/scholar?q=A+non+Cartesian+FFT+approach+to+image+alignment&btnG=&hl=en&as_sdt=0%2C5

M3 - Conference contribution

BT - IEEE International Conference on Image Processing

PB - IEEE

ER -

A non Cartesian FFT approach to image alignment

Abstract

Bibliographical note

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