A phase-based approach to the estimation of the optical flow field using spatial filtering

By Temujin Gautama, Marc M. Van Hulle. IEEE Trans. Neural Networks, 2002

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Phase-based frame interpolation for video (2015, background): “The remaining frequency content which has not been captured in the pyramid levels is summarized in (real valued) high- and low-pass residuals.”
Efficient visual event detection using volumetric features (2005, result): “[5] and standard Lucas-Kanade [8]) and achieve similar results.”
Output-only computer vision based damage detection using phase-based optical flow and unscented Kalman filters (2017, methodology): “The decomposed local phase and amplitude are used to calculate the displacement signal and edge strength simultaneously [21,22].”
Riesz pyramids for fast phase-based video magnification (2014, methodology): “In practice, we found that using two three-tap filters to approximate the Riesz transform gave motion magnification results that were comparable to using higher-tap approximations or the frequency domain implementation of the Riesz transform.”