Robust Image Registration via Cepstral Analysis

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Title Robust Image Registration via Cepstral Analysis
Author Gonzalez, Ruben
Publication Title Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications DICTA 2011
Editor Andrew Bradley
Year Published 2011
Place of publication USA
Publisher IEEE
Abstract Cepstrum based image registration has been largely overlooked over the past two decades. Initial investigation of the method was limited to alignment of images exhibiting only translational differences. Later attempts to extend the method to handle rotations proved disappointing. This paper presents a cepstrum-based registration method that provides performance comparable to the state of the art over a wide range of scale factors and rotation angles, with reduced computational load.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/DICTA.2011.16
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 978-0-7695-4588-2
Conference name 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011)
Location Noosa, Australia
Date From 2011-12-06
Date To 2011-12-08
URI http://hdl.handle.net/10072/42951
Date Accessioned 2011-12-16
Date Available 2013-08-20T00:02:47Z
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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