Robust phase correlation

Yosi Keller, Amir Averbuch, Ofer Miller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
EditorsJ. Kittler, M. Petrou, M. Nixon
Pages740-743
Number of pages4
DOIs
StatePublished - 2004
EventProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom
Duration: 23 Aug 200426 Aug 2004

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume2
ISSN (Print)1051-4651

Conference

ConferenceProceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/TerritoryUnited Kingdom
CityCambridge
Period23/08/0426/08/04

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