High-Accuracy Subpixel Image Registration Based on Phase-Only Correlation

By K. Takita, Takafumi Aoki, Y. Sasaki, T. Higuchi, Koji Kobayashi. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2003

342 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8a6d91acae1b18b66846a1d211887d551dca5e58

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Citations in the corpus

An Effective Approach for Iris Recognition Using Phase-Based Image Matching (2008, methodology): “The technique of phase-based image matching has so far been successfully applied to high-accuracy image registration tasks for computer vision applications [10], [11], [12], where the estimation of subpixel image translation is a major concern.”
Image Matching from Handcrafted to Deep Features: A Survey (2020, methodology): “…of converting the original images into another domain, such as phase correlation based on Fourier shift theorem (Reddy and Chatterji 1996; Liu et al. 2005; Chen et al. 1994; Takita et al. 2003; Foroosh et al. 2002), and Walsh transform-based methods (Lazaridis and Petrou 2006; Pan et al. 2008).”
Three-dimensional Full-field Measurements of Large Deformations in Soft Materials Using Confocal Microscopy and Digital Volume Correlation (2007, methodology): “Various fitting models have been used in the past [20, 21 ], employing somewhat arbitrary assumptions that the cross-correlation function near the peak can be approximated by a Gaussian or a parabolic function.”