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  • Robust Image Registration via Cepstral Analysis

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    74187_1.pdf (386.1Kb)
    Author(s)
    Gonzalez, Ruben
    Griffith University Author(s)
    Gonzalez, Ruben
    Year published
    2011
    Metadata
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    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.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.
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    Conference Title
    Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications DICTA 2011
    DOI
    https://doi.org/10.1109/DICTA.2011.16
    Copyright Statement
    © 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.
    Subject
    Computer Vision
    Publication URI
    http://hdl.handle.net/10072/42951
    Collection
    • Conference outputs

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