Improving Phase Correlation for Image Registration

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Title Improving Phase Correlation for Image Registration
Author Gonzalez, Ruben
Publication Title Proceedings of Image and Vision Computing New Zealand 2011
Editor Patrice Delmas, Berkhard Wuensche and Jason James
Year Published 2011
Place of publication New Zealand
Publisher University of Auckland
Abstract Phase correlation is a well-known technique for image registration that is robust to noise and operates in constant time. Scale and rotation invariance can be achieved through means of a log-polar transformation. Unfortunately this method has been historically shown to be unable to handle large rotation or scaling factors, making it unsuitable for many image registration tasks. This paper presents a novel phase correlation based technique that is shown to outperform the current state of the art image registration methods in terms of being able to recover larger rotation and scaling factors and with reduced computational requirements.
Peer Reviewed Yes
Published Yes
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Copyright Statement Copyright 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN 978-0-473-20282-8
Conference name Image And Vision Computing New Zealand 2011 (IVCNZ2011)
Location Auckland, New Zealand
Date From 2011-11-29
Date To 2011-12-01
Date Accessioned 2011-12-16
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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