Robust phase correlation

Yosi Keller; Amir Averbuch; Ofer Miller

doi:10.1109/ICPR.2004.1334365

Robust phase correlation

Yosi Keller^*, Amir Averbuch, Ofer Miller

^*Corresponding author for this work

School of Computer Science

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

27 Scopus citations

Abstract

Phase-correlation (PC) is a computationally efficient method for two and three dimensional translation estimation. We presents a projection operator which significantly improves the accuracy and robustness of the PC scheme. The operator projects the estimated correlation function into the space of correlation functions resulting from a certain range of translations, while rejecting components which are unrelated to the estimated motion. Thus, the registration accuracy is improved by an order of magnitude, especially in the registration of noisy images and volumes. In addition, this approach is shown to be complementary with other subpixel phase correlation based techniques.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Editors	J. Kittler, M. Petrou, M. Nixon
Pages	740-743
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2004.1334365
State	Published - 2004
Event	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: 23 Aug 2004 → 26 Aug 2004

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	2
ISSN (Print)	1051-4651

Conference

Conference	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	23/08/04 → 26/08/04

Access to Document

10.1109/ICPR.2004.1334365

Cite this

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title = "Robust phase correlation",

abstract = "Phase-correlation (PC) is a computationally efficient method for two and three dimensional translation estimation. We presents a projection operator which significantly improves the accuracy and robustness of the PC scheme. The operator projects the estimated correlation function into the space of correlation functions resulting from a certain range of translations, while rejecting components which are unrelated to the estimated motion. Thus, the registration accuracy is improved by an order of magnitude, especially in the registration of noisy images and volumes. In addition, this approach is shown to be complementary with other subpixel phase correlation based techniques.",

author = "Yosi Keller and Amir Averbuch and Ofer Miller",

year = "2004",

doi = "10.1109/ICPR.2004.1334365",

language = "אנגלית",

isbn = "0769521282",

series = "Proceedings - International Conference on Pattern Recognition",

pages = "740--743",

editor = "J. Kittler and M. Petrou and M. Nixon",

booktitle = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004",

note = "Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 ; Conference date: 23-08-2004 Through 26-08-2004",

}

Keller, Y, Averbuch, A & Miller, O 2004, Robust phase correlation. in J Kittler, M Petrou & M Nixon (eds), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Proceedings - International Conference on Pattern Recognition, vol. 2, pp. 740-743, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, United Kingdom, 23/08/04. https://doi.org/10.1109/ICPR.2004.1334365

Robust phase correlation. / Keller, Yosi; Averbuch, Amir; Miller, Ofer.
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. ed. / J. Kittler; M. Petrou; M. Nixon. 2004. p. 740-743 (Proceedings - International Conference on Pattern Recognition; Vol. 2).

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

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AU - Averbuch, Amir

AU - Miller, Ofer

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N2 - Phase-correlation (PC) is a computationally efficient method for two and three dimensional translation estimation. We presents a projection operator which significantly improves the accuracy and robustness of the PC scheme. The operator projects the estimated correlation function into the space of correlation functions resulting from a certain range of translations, while rejecting components which are unrelated to the estimated motion. Thus, the registration accuracy is improved by an order of magnitude, especially in the registration of noisy images and volumes. In addition, this approach is shown to be complementary with other subpixel phase correlation based techniques.

AB - Phase-correlation (PC) is a computationally efficient method for two and three dimensional translation estimation. We presents a projection operator which significantly improves the accuracy and robustness of the PC scheme. The operator projects the estimated correlation function into the space of correlation functions resulting from a certain range of translations, while rejecting components which are unrelated to the estimated motion. Thus, the registration accuracy is improved by an order of magnitude, especially in the registration of noisy images and volumes. In addition, this approach is shown to be complementary with other subpixel phase correlation based techniques.

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BT - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004

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T2 - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004

Y2 - 23 August 2004 through 26 August 2004

ER -

Robust phase correlation

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