Alignment of Similarity-Transformed Images Based on Fourier--Mellin Transform Using Auxiliary Function Method
This paper proposes an algorithm for estimating the similarity transformation, namely translation, scale, and rotation, between two images with subpixel accuracy. Image registration is a fundamental technique for aligning images acquired under different viewpoints and imaging conditions, and a representative approach based on maximizing discrete cross-correlation is the Fourier--Mellin registration. However, the Fourier--Mellin approach often fails to achieve sufficient alignment accuracy when subpixel-level estimation is required. The proposed method integrates (i) scale-and-rotation estimation from the Fourier magnitude spectrum in a log-polar representation and (ii) maximization of pha...
| Authors | Shinji Yamashita, Yuma Kinoshita, Hitoshi Kiya |
|---|---|
| Primary category | eess.IV |
| Published | 12 August 2026 |
| Last updated at source | 12 August 2026 |
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