IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital video processing
A Course in Digital Signal Processing
A Course in Digital Signal Processing
A Frequency Domain Technique for Range Data Registration
IEEE Transactions on Pattern Analysis and Machine Intelligence
An FFT-based technique for translation, rotation, and scale-invariant image registration
IEEE Transactions on Image Processing
Two-dimensional matched filtering for motion estimation
IEEE Transactions on Image Processing
Efficient, robust, and fast global motion estimation for video coding
IEEE Transactions on Image Processing
Extension of phase correlation to subpixel registration
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Motion vision based structure estimation in forest environment
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Rigid registration of renal perfusion images using a neurobiology-based visual saliency model
Journal on Image and Video Processing
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Phase-correlation (PC) is a computationally efficient scheme for estimating 2-D and 3-D translations. We present a masking operator that significantly improves the accuracy and robustness of the PC scheme. The masking projects the estimated correlation function on the space of correlation functions that result from a certain range of translations, while rejecting components that are unrelated to the estimated motion. Thus, the registration accuracy is improved by an order of magnitude, especially when registering noisy images and volumes. The scheme is also shown to improve the registration of rotated images in the Fourier domain.