A survey of image registration techniques
ACM Computing Surveys (CSUR)
An Adaptable-Multilayer Fractional Fourier Transform Approach for Image Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume Registration Using the 3-D Pseudopolar Fourier Transform
IEEE Transactions on Signal Processing
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Pseudopolar-based estimation of large translations, rotations, and scalings in images
IEEE Transactions on Image Processing
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Fast and accurate estimation of the Fourier transform in polar coordinates has long been a major challenge for many image processing applications including phase-correlation based motion estimation. To address this problem, it has been proposed to calculate the Fourier transform coefficients on the pseudo-polar coordinates. To acquire better image registration accuracy, we introduce the generalized pseudo-polar motion estimation framework that encompasses the classic pseudo-polar and related techniques. Experimental results on controlled data as well as real world spectral domain ophthalmic optical coherence tomography images of adults and neonatal patients attest to the effectiveness of the presented method.