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  • Fast gradient distance based image registration

    Author(s)
    Gonzalez, Ruben
    Lincoln, Luke
    Griffith University Author(s)
    Gonzalez, Ruben
    Lincoln, Luke
    Year published
    2017
    Metadata
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    Abstract
    Phase Correlation is many times faster than feature correspondence based image registration methods, but is still relatively computationally complex. To register images using phase correlation related by similarity transforms a translation invariant log-polar remapping of the images is required. This operation requires the computation of an additional two 2D FFTs plus two log-polar transforms. This paper proposes an alternative approach that eliminates the need to compute the log-polar transforms that reduces the number of FFTs required to register images and reduces overall computation time.Phase Correlation is many times faster than feature correspondence based image registration methods, but is still relatively computationally complex. To register images using phase correlation related by similarity transforms a translation invariant log-polar remapping of the images is required. This operation requires the computation of an additional two 2D FFTs plus two log-polar transforms. This paper proposes an alternative approach that eliminates the need to compute the log-polar transforms that reduces the number of FFTs required to register images and reduces overall computation time.
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    Conference Title
    2017 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS)
    DOI
    https://doi.org/10.1109/ICSPCS.2017.8270457
    Subject
    Image processing
    Publication URI
    http://hdl.handle.net/10072/376143
    Collection
    • Conference outputs

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