Eulerian Video Magnification for Revealing Subtle Changes in the World

Non-Exclusively Licensed

In an embodiment, a method converts two images to a transform representation in a transform domain. For each spatial position, the method examines coefficients representing a neighborhood of the spatial position that is spatially the same across each of the two images. The method calculates a first vector in the transform domain based on first coefficients representing the spatial position, the first vector representing change from a first to second image of the two images describing deformation. The method modifies the first vector to create a second vector in the transform domain representing amplified movement at the spatial position between the first and second images. The method calculates second coefficients based on the second vector of the transform domain. From the second coefficients, the method generates an output image showing motion amplified according to the second vector for each spatial position between the first and second images.

Researchers

William Freeman / Michael Rubinstein / Hao-Yu Wu / Eugene Shih / Fredo Durand (he/him/his) / John Guttag

Departments: Dept of Electrical Engineering & Computer Science
Technology Areas: Computer Science: Networking & Signals / Sensing & Imaging: Imaging, Optical Sensing
Impact Areas: Connected World

  • linear-based eulerian motion modulation
    United States of America | Granted | 10,007,986
  • linear-based eulerian motion modulation
    United States of America | Granted | 9,811,901
  • linear-based eulerian motion modulation
    United States of America | Granted | 10,217,218

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