Fast gradient distance based image registration
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Lincoln, Luke
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Wysocki, TA
Wysocki, BJ
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AUSTRALIA
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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.
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2017 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS)
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Image processing