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Motion Magnification

Motion magnification is a technique that acts like a microscope for visual motion. It can amplify subtle motions in a video sequence, allowing for visualization of deformations that would otherwise be invisible. To achieve motion magnification, we need to accurately measure visual motions, and group the pixels to be modified.

There are different approaches to motion magnification, such as Lagrangian and Eulerian methods. Lagrangian methods track the trajectories of moving objects and exaggerate them, while Eulerian methods manipulate the motions at fixed positions. Eulerian methods can be further divided into linear and phase-based methods. Linear methods apply a temporal bandpass filter to boost the linear term of a Taylor series expansion of the displacement function, while phase-based methods use complex wavelet transforms to manipulate the phase of the signal.

Motion magnification has various applications, such as measuring the human pulse, visualizing the heat plume of candles, revealing the oscillations of a wine glass, and detecting structural defects.

Papers

Showing 1120 of 38 papers

TitleStatusHype
EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within TransformerCode1
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow0
3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields0
Motion Magnification in Robotic Sonography: Enabling Pulsation-Aware Artery SegmentationCode0
Deformation Monitoring of Tunnel using Phase-based Motion Magnification and Optical Flow0
STB-VMM: Swin Transformer Based Video Motion MagnificationCode1
3D Motion Magnification: Visualizing Subtle Motions from Time-Varying Radiance Fields0
Multi Domain Learning for Motion MagnificationCode0
How Do Deepfakes Move? Motion Magnification for Deepfake Source Detection0
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings0
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