TY - JOUR
T1 - The angular difference function and its application to image registration
AU - Keller, Yosi
AU - Shkolnisky, Yoel
AU - Averbuch, Amir
PY - 2005/6
Y1 - 2005/6
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 pseudopolar 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 pseudopolar 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.
KW - Fourier domain
KW - Global motion estimation
KW - Image alignment
KW - Pseudopolar FFT
UR - http://www.scopus.com/inward/record.url?scp=21244473679&partnerID=8YFLogxK
U2 - 10.1109/tpami.2005.128
DO - 10.1109/tpami.2005.128
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C2 - 15943427
AN - SCOPUS:21244473679
SN - 0162-8828
VL - 27
SP - 969
EP - 976
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
JF - IEEE Transactions on Pattern Analysis and Machine Intelligence
IS - 6
ER -