IEICE TRANSACTIONS on Information
A Comparative Study of Rotation Angle Estimation Methods Based on Complex Moments
Summary :
Determining the rotation angle between two images is essential when comparing images that may include rotational variation. While there are three representative methods that utilize the phases of Zernike moments (ZMs) to estimate rotation angles, very little work has been done to compare the performances of these methods. In this paper, we compare the performances of these three methods and propose a new, angular radial transform (ART)-based method. Our method extends Revaud et al.'s method [1] and uses the phase of angular radial transform coefficients instead of ZMs. We show that our proposed method outperforms the ZM-based method using the MPEG-7 shape dataset when computation times are compared or in terms of the root mean square error vs. coverage.
- Publication
- IEICE TRANSACTIONS on Information Vol.E95-D No.5 pp.1485-1493
- Publication Date
- 2012/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E95.D.1485
- Type of Manuscript
- PAPER
- Category
- Image Recognition, Computer Vision
Authors
Keyword
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Jong-Min LEE, Whoi-Yul KIM, "A Comparative Study of Rotation Angle Estimation Methods Based on Complex Moments" in IEICE TRANSACTIONS on Information,
vol. E95-D, no. 5, pp. 1485-1493, May 2012, doi: 10.1587/transinf.E95.D.1485.
Abstract: Determining the rotation angle between two images is essential when comparing images that may include rotational variation. While there are three representative methods that utilize the phases of Zernike moments (ZMs) to estimate rotation angles, very little work has been done to compare the performances of these methods. In this paper, we compare the performances of these three methods and propose a new, angular radial transform (ART)-based method. Our method extends Revaud et al.'s method [1] and uses the phase of angular radial transform coefficients instead of ZMs. We show that our proposed method outperforms the ZM-based method using the MPEG-7 shape dataset when computation times are compared or in terms of the root mean square error vs. coverage.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E95.D.1485/_p
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@ARTICLE{e95-d_5_1485,
author={Jong-Min LEE, Whoi-Yul KIM, },
journal={IEICE TRANSACTIONS on Information},
title={A Comparative Study of Rotation Angle Estimation Methods Based on Complex Moments},
year={2012},
volume={E95-D},
number={5},
pages={1485-1493},
abstract={Determining the rotation angle between two images is essential when comparing images that may include rotational variation. While there are three representative methods that utilize the phases of Zernike moments (ZMs) to estimate rotation angles, very little work has been done to compare the performances of these methods. In this paper, we compare the performances of these three methods and propose a new, angular radial transform (ART)-based method. Our method extends Revaud et al.'s method [1] and uses the phase of angular radial transform coefficients instead of ZMs. We show that our proposed method outperforms the ZM-based method using the MPEG-7 shape dataset when computation times are compared or in terms of the root mean square error vs. coverage.},
keywords={},
doi={10.1587/transinf.E95.D.1485},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - A Comparative Study of Rotation Angle Estimation Methods Based on Complex Moments
T2 - IEICE TRANSACTIONS on Information
SP - 1485
EP - 1493
AU - Jong-Min LEE
AU - Whoi-Yul KIM
PY - 2012
DO - 10.1587/transinf.E95.D.1485
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E95-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2012
AB - Determining the rotation angle between two images is essential when comparing images that may include rotational variation. While there are three representative methods that utilize the phases of Zernike moments (ZMs) to estimate rotation angles, very little work has been done to compare the performances of these methods. In this paper, we compare the performances of these three methods and propose a new, angular radial transform (ART)-based method. Our method extends Revaud et al.'s method [1] and uses the phase of angular radial transform coefficients instead of ZMs. We show that our proposed method outperforms the ZM-based method using the MPEG-7 shape dataset when computation times are compared or in terms of the root mean square error vs. coverage.
ER -
English
