This paper presents a technique for high-accuracy estimation of image rotation using 1D Phase-Only Correlation (POC). The rotation angle between two images is estimated as follows: (i) compute the amplitude spectra of the given images, (ii) transform the coordinate system of amplitude spectra from Cartesian coordinates to polar coordinates, and (iii) estimate the translational displacement between the polar-mapped amplitude spectra to obtain the rotation angle. While the conventional approach is to employ 2D POC for high-accuracy displacement estimation in (iii), this paper proposes the use of 1D POC with an adaptive line selection scheme. The proposed technique makes possible to improve the accuracy of rotation estimation for low contrast images of artificial objects with regular geometric shapes and to reduce the total computation cost by 50%.
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Copy
Sei NAGASHIMA, Koichi ITO, Takafumi AOKI, Hideaki ISHII, Koji KOBAYASHI, "High-Accuracy Estimation of Image Rotation Using 1D Phase-Only Correlation" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 1, pp. 235-243, January 2009, doi: 10.1587/transfun.E92.A.235.
Abstract: This paper presents a technique for high-accuracy estimation of image rotation using 1D Phase-Only Correlation (POC). The rotation angle between two images is estimated as follows: (i) compute the amplitude spectra of the given images, (ii) transform the coordinate system of amplitude spectra from Cartesian coordinates to polar coordinates, and (iii) estimate the translational displacement between the polar-mapped amplitude spectra to obtain the rotation angle. While the conventional approach is to employ 2D POC for high-accuracy displacement estimation in (iii), this paper proposes the use of 1D POC with an adaptive line selection scheme. The proposed technique makes possible to improve the accuracy of rotation estimation for low contrast images of artificial objects with regular geometric shapes and to reduce the total computation cost by 50%.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.235/_p
Copy
@ARTICLE{e92-a_1_235,
author={Sei NAGASHIMA, Koichi ITO, Takafumi AOKI, Hideaki ISHII, Koji KOBAYASHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={High-Accuracy Estimation of Image Rotation Using 1D Phase-Only Correlation},
year={2009},
volume={E92-A},
number={1},
pages={235-243},
abstract={This paper presents a technique for high-accuracy estimation of image rotation using 1D Phase-Only Correlation (POC). The rotation angle between two images is estimated as follows: (i) compute the amplitude spectra of the given images, (ii) transform the coordinate system of amplitude spectra from Cartesian coordinates to polar coordinates, and (iii) estimate the translational displacement between the polar-mapped amplitude spectra to obtain the rotation angle. While the conventional approach is to employ 2D POC for high-accuracy displacement estimation in (iii), this paper proposes the use of 1D POC with an adaptive line selection scheme. The proposed technique makes possible to improve the accuracy of rotation estimation for low contrast images of artificial objects with regular geometric shapes and to reduce the total computation cost by 50%.},
keywords={},
doi={10.1587/transfun.E92.A.235},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - High-Accuracy Estimation of Image Rotation Using 1D Phase-Only Correlation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 235
EP - 243
AU - Sei NAGASHIMA
AU - Koichi ITO
AU - Takafumi AOKI
AU - Hideaki ISHII
AU - Koji KOBAYASHI
PY - 2009
DO - 10.1587/transfun.E92.A.235
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2009
AB - This paper presents a technique for high-accuracy estimation of image rotation using 1D Phase-Only Correlation (POC). The rotation angle between two images is estimated as follows: (i) compute the amplitude spectra of the given images, (ii) transform the coordinate system of amplitude spectra from Cartesian coordinates to polar coordinates, and (iii) estimate the translational displacement between the polar-mapped amplitude spectra to obtain the rotation angle. While the conventional approach is to employ 2D POC for high-accuracy displacement estimation in (iii), this paper proposes the use of 1D POC with an adaptive line selection scheme. The proposed technique makes possible to improve the accuracy of rotation estimation for low contrast images of artificial objects with regular geometric shapes and to reduce the total computation cost by 50%.
ER -