Registration of Translated and Rotated Images Using Finite Fourier Transforms
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Angular Difference Function and Its Application to Image Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Phase correlation based iris image registration model
Journal of Computer Science and Technology
A High-Accuracy Passive 3D Measurement System Using Phase-Based Image Matching
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Image registration using Markov random coefficient fields
IWCIA'08 Proceedings of the 12th international conference on Combinatorial image analysis
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Extension of phase correlation to subpixel 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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The phase correlation method is a well-known image alignment technique with broad applications in medical image processing, image stitching, and computer vision. This method relies on estimating the maximum of the phase-only correlation (POC) function, which is defined as the inverse Fourier transform of the normalized cross-spectrum between two images. The coordinates of the maximum correspond to the translation between the two images. One of the main drawbacks of this method, in its basic form, is that the location of the maximum can only be obtained with integer accuracy. In this paper, we propose a new technique to estimate the location with subpixel accuracy, by minimizing the magnitude of gradient of the POC function around a point near the maximum. We also present some experimental results where the proposed method shows an increased accuracy of at least one order of magnitude with respect to the base method. Finally, we illustrate the application of the proposed algorithm to the rigid registration of digital images.